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You searched for subject:(Adaptive Selection). Showing records 1 – 30 of 92 total matches.

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University of Arizona

1. Abdul Wahab, Ahmad Hakeem. Statistical Discovery of Biomarkers in Metagenomics .

Degree: 2015, University of Arizona

 Metagenomics holds unyielding potential in uncovering relationships within microbial communities that have yet to be discovered, particularly because the field circumvents the need to isolate… (more)

Subjects/Keywords: Adaptive Lasso; Biomarker; Metagenomics; Variable Selection; Statistics; Adaptive Elastic Net

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APA (6th Edition):

Abdul Wahab, A. H. (2015). Statistical Discovery of Biomarkers in Metagenomics . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/566996

Chicago Manual of Style (16th Edition):

Abdul Wahab, Ahmad Hakeem. “Statistical Discovery of Biomarkers in Metagenomics .” 2015. Masters Thesis, University of Arizona. Accessed May 20, 2019. http://hdl.handle.net/10150/566996.

MLA Handbook (7th Edition):

Abdul Wahab, Ahmad Hakeem. “Statistical Discovery of Biomarkers in Metagenomics .” 2015. Web. 20 May 2019.

Vancouver:

Abdul Wahab AH. Statistical Discovery of Biomarkers in Metagenomics . [Internet] [Masters thesis]. University of Arizona; 2015. [cited 2019 May 20]. Available from: http://hdl.handle.net/10150/566996.

Council of Science Editors:

Abdul Wahab AH. Statistical Discovery of Biomarkers in Metagenomics . [Masters Thesis]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/566996


Georgia State University

2. Syed, Ali R. A Review of Cross Validation and Adaptive Model Selection.

Degree: MS, Mathematics and Statistics, 2011, Georgia State University

We perform a review of model selection procedures, in particular various cross validation procedures and adaptive model selection.  We cover important results for these procedures and explore the connections between different procedures and information criteria. Advisors/Committee Members: Yixin Fang, Yichuan Zhao, Jiawei Liu.

Subjects/Keywords: Cross validation; Model selection; Adaptive model selection; Mathematics

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APA (6th Edition):

Syed, A. R. (2011). A Review of Cross Validation and Adaptive Model Selection. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/99

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Syed, Ali R. “A Review of Cross Validation and Adaptive Model Selection.” 2011. Thesis, Georgia State University. Accessed May 20, 2019. https://scholarworks.gsu.edu/math_theses/99.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Syed, Ali R. “A Review of Cross Validation and Adaptive Model Selection.” 2011. Web. 20 May 2019.

Vancouver:

Syed AR. A Review of Cross Validation and Adaptive Model Selection. [Internet] [Thesis]. Georgia State University; 2011. [cited 2019 May 20]. Available from: https://scholarworks.gsu.edu/math_theses/99.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Syed AR. A Review of Cross Validation and Adaptive Model Selection. [Thesis]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/math_theses/99

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas Medical Center

3. Liu, Changlu. BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES.

Degree: PhD, 2013, Texas Medical Center

  Complex diseases such as cancer result from multiple genetic changes and environmental exposures. Due to the rapid development of genotyping and sequencing technologies, we… (more)

Subjects/Keywords: Bayesian Variable Selection; Hierarchical Interaction; Orthogonality; Adaptive Borrowing; Biostatistics

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APA (6th Edition):

Liu, C. (2013). BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES. (Doctoral Dissertation). Texas Medical Center. Retrieved from http://digitalcommons.library.tmc.edu/utgsbs_dissertations/385

Chicago Manual of Style (16th Edition):

Liu, Changlu. “BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES.” 2013. Doctoral Dissertation, Texas Medical Center. Accessed May 20, 2019. http://digitalcommons.library.tmc.edu/utgsbs_dissertations/385.

MLA Handbook (7th Edition):

Liu, Changlu. “BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES.” 2013. Web. 20 May 2019.

Vancouver:

Liu C. BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES. [Internet] [Doctoral dissertation]. Texas Medical Center; 2013. [cited 2019 May 20]. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/385.

Council of Science Editors:

Liu C. BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES. [Doctoral Dissertation]. Texas Medical Center; 2013. Available from: http://digitalcommons.library.tmc.edu/utgsbs_dissertations/385


Brunel University

4. Al-Kenani, Ali J. Kadhim. Some statistical methods for dimension reduction.

Degree: PhD, 2013, Brunel University

 The aim of the work in this thesis is to carry out dimension reduction (DR) for high dimensional (HD) data by using statistical methods for… (more)

Subjects/Keywords: 519.5; Dimension reduction; Variable selection; Lasso; Adaptive lasso; Quantile regression

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APA (6th Edition):

Al-Kenani, A. J. K. (2013). Some statistical methods for dimension reduction. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920

Chicago Manual of Style (16th Edition):

Al-Kenani, Ali J Kadhim. “Some statistical methods for dimension reduction.” 2013. Doctoral Dissertation, Brunel University. Accessed May 20, 2019. http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920.

MLA Handbook (7th Edition):

Al-Kenani, Ali J Kadhim. “Some statistical methods for dimension reduction.” 2013. Web. 20 May 2019.

Vancouver:

Al-Kenani AJK. Some statistical methods for dimension reduction. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2019 May 20]. Available from: http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920.

Council of Science Editors:

Al-Kenani AJK. Some statistical methods for dimension reduction. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/7727 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.582920


University of Illinois – Chicago

5. Lloyd, Mark C. An Evolutionary and Ecological Investigation of Cancer.

Degree: 2016, University of Illinois – Chicago

 I propose to investigate how Darwinian dynamics, as defined as the simultaneous evolution of populations and strategies on a continuous adaptive landscape, applies to cancer… (more)

Subjects/Keywords: ecology; cancer; evolution; heterogeneity; natural selection; regional variations; adaptive strategies; microenvironment

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APA (6th Edition):

Lloyd, M. C. (2016). An Evolutionary and Ecological Investigation of Cancer. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/20881

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lloyd, Mark C. “An Evolutionary and Ecological Investigation of Cancer.” 2016. Thesis, University of Illinois – Chicago. Accessed May 20, 2019. http://hdl.handle.net/10027/20881.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lloyd, Mark C. “An Evolutionary and Ecological Investigation of Cancer.” 2016. Web. 20 May 2019.

Vancouver:

Lloyd MC. An Evolutionary and Ecological Investigation of Cancer. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2019 May 20]. Available from: http://hdl.handle.net/10027/20881.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lloyd MC. An Evolutionary and Ecological Investigation of Cancer. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/20881

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Manitoba

6. Xue, Lin. Adaptive L1 regularized second-order least squares method for model selection.

Degree: Statistics, 2015, University of Manitoba

 The second-order least squares (SLS) method in regression model proposed by Wang (2003, 2004) is based on the first two conditional moments of the response… (more)

Subjects/Keywords: Adaptive LASSO; Second-order least squares method; Variable selection

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APA (6th Edition):

Xue, L. (2015). Adaptive L1 regularized second-order least squares method for model selection. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/30757

Chicago Manual of Style (16th Edition):

Xue, Lin. “Adaptive L1 regularized second-order least squares method for model selection.” 2015. Masters Thesis, University of Manitoba. Accessed May 20, 2019. http://hdl.handle.net/1993/30757.

MLA Handbook (7th Edition):

Xue, Lin. “Adaptive L1 regularized second-order least squares method for model selection.” 2015. Web. 20 May 2019.

Vancouver:

Xue L. Adaptive L1 regularized second-order least squares method for model selection. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2019 May 20]. Available from: http://hdl.handle.net/1993/30757.

Council of Science Editors:

Xue L. Adaptive L1 regularized second-order least squares method for model selection. [Masters Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/30757


University of Illinois – Urbana-Champaign

7. Zheng, Chanjin. Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing  – smart diagnosis for smart learning.

Degree: PhD, Educational Psychology, 2015, University of Illinois – Urbana-Champaign

 The current studies represent an effort to advance the feasibility of cognitive diagnostic computerized adaptive testing (CD-CAT), an intelligent educational measurement tool that was envisioned… (more)

Subjects/Keywords: cognitive diagnostic computerized adaptive testing (CD-CAT); item selection algorithms

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APA (6th Edition):

Zheng, C. (2015). Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing  – smart diagnosis for smart learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78750

Chicago Manual of Style (16th Edition):

Zheng, Chanjin. “Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing  – smart diagnosis for smart learning.” 2015. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed May 20, 2019. http://hdl.handle.net/2142/78750.

MLA Handbook (7th Edition):

Zheng, Chanjin. “Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing  – smart diagnosis for smart learning.” 2015. Web. 20 May 2019.

Vancouver:

Zheng C. Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing  – smart diagnosis for smart learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 May 20]. Available from: http://hdl.handle.net/2142/78750.

Council of Science Editors:

Zheng C. Some practical item selection algorithms in cognitive diagnostic computerized adaptive testing  – smart diagnosis for smart learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78750


Cornell University

8. Hitomi, Nozomi. Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge .

Degree: 2018, Cornell University

 Distributed spacecraft missions (DSM) are gaining traction in the space community for the potential to deploy multiple simple and low-cost spacecraft to provide high temporal… (more)

Subjects/Keywords: Evolutionary Algorithms; Aerospace engineering; Adaptive operator selection; Multiobjective Optimization; Mechanical engineering

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APA (6th Edition):

Hitomi, N. (2018). Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/59431

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hitomi, Nozomi. “Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge .” 2018. Thesis, Cornell University. Accessed May 20, 2019. http://hdl.handle.net/1813/59431.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hitomi, Nozomi. “Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge .” 2018. Web. 20 May 2019.

Vancouver:

Hitomi N. Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge . [Internet] [Thesis]. Cornell University; 2018. [cited 2019 May 20]. Available from: http://hdl.handle.net/1813/59431.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hitomi N. Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge . [Thesis]. Cornell University; 2018. Available from: http://hdl.handle.net/1813/59431

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Iowa

9. Williford, Anna Ouzounian. Local effects of limited recombination in Drosophila.

Degree: PhD, Biology, 2010, University of Iowa

  Recent years have witnessed the integration of theoretical advances in population genetics with large-scale analyses of complete genomes. As a result, a growing number… (more)

Subjects/Keywords: adaptive substitutions; effectiveness of selection; Hill-Robertson effect; recombination; Biology

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APA (6th Edition):

Williford, A. O. (2010). Local effects of limited recombination in Drosophila. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/626

Chicago Manual of Style (16th Edition):

Williford, Anna Ouzounian. “Local effects of limited recombination in Drosophila.” 2010. Doctoral Dissertation, University of Iowa. Accessed May 20, 2019. https://ir.uiowa.edu/etd/626.

MLA Handbook (7th Edition):

Williford, Anna Ouzounian. “Local effects of limited recombination in Drosophila.” 2010. Web. 20 May 2019.

Vancouver:

Williford AO. Local effects of limited recombination in Drosophila. [Internet] [Doctoral dissertation]. University of Iowa; 2010. [cited 2019 May 20]. Available from: https://ir.uiowa.edu/etd/626.

Council of Science Editors:

Williford AO. Local effects of limited recombination in Drosophila. [Doctoral Dissertation]. University of Iowa; 2010. Available from: https://ir.uiowa.edu/etd/626


University of North Texas

10. Kalinowski, Kevin E. Stratified item selection and exposure control in unidimensional adaptive testing in the presence of two-dimensional data.

Degree: 2009, University of North Texas

 It is not uncommon to use unidimensional item response theory (IRT) models to estimate ability in multidimensional data. Therefore it is important to understand the… (more)

Subjects/Keywords: a-stratified design; Adaptive testing; multidimensionality; Item response theory.; item selection; item exposure control; Computer adaptive testing.

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APA (6th Edition):

Kalinowski, K. E. (2009). Stratified item selection and exposure control in unidimensional adaptive testing in the presence of two-dimensional data. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc11029/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kalinowski, Kevin E. “Stratified item selection and exposure control in unidimensional adaptive testing in the presence of two-dimensional data.” 2009. Thesis, University of North Texas. Accessed May 20, 2019. https://digital.library.unt.edu/ark:/67531/metadc11029/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kalinowski, Kevin E. “Stratified item selection and exposure control in unidimensional adaptive testing in the presence of two-dimensional data.” 2009. Web. 20 May 2019.

Vancouver:

Kalinowski KE. Stratified item selection and exposure control in unidimensional adaptive testing in the presence of two-dimensional data. [Internet] [Thesis]. University of North Texas; 2009. [cited 2019 May 20]. Available from: https://digital.library.unt.edu/ark:/67531/metadc11029/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kalinowski KE. Stratified item selection and exposure control in unidimensional adaptive testing in the presence of two-dimensional data. [Thesis]. University of North Texas; 2009. Available from: https://digital.library.unt.edu/ark:/67531/metadc11029/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

11. Gerig, Brandon S. Site Occupancy and Habitat Selection of Endangered Humpback Chub during Experimental Flow Releases from Glen Canyon Dam in the Colorado River in Grand Canyon, Arizona.

Degree: MS, Wildlife Ecology and Conservation, 2012, University of Florida

 Conserving native riverine fish communities is in part dependent on how regulated river corridors are managed. In order for dams and hydropower operations to be… (more)

Subjects/Keywords: Canyons; Dams; Ecology; Fish; Fisheries; Habitat selection; Hydraulics; Rivers; Steady flows; Turbidity; adaptive  – chub  – colorado  – habitat  – humpback  – management  – occupancy  – river  – selection

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APA (6th Edition):

Gerig, B. S. (2012). Site Occupancy and Habitat Selection of Endangered Humpback Chub during Experimental Flow Releases from Glen Canyon Dam in the Colorado River in Grand Canyon, Arizona. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044148

Chicago Manual of Style (16th Edition):

Gerig, Brandon S. “Site Occupancy and Habitat Selection of Endangered Humpback Chub during Experimental Flow Releases from Glen Canyon Dam in the Colorado River in Grand Canyon, Arizona.” 2012. Masters Thesis, University of Florida. Accessed May 20, 2019. http://ufdc.ufl.edu/UFE0044148.

MLA Handbook (7th Edition):

Gerig, Brandon S. “Site Occupancy and Habitat Selection of Endangered Humpback Chub during Experimental Flow Releases from Glen Canyon Dam in the Colorado River in Grand Canyon, Arizona.” 2012. Web. 20 May 2019.

Vancouver:

Gerig BS. Site Occupancy and Habitat Selection of Endangered Humpback Chub during Experimental Flow Releases from Glen Canyon Dam in the Colorado River in Grand Canyon, Arizona. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2019 May 20]. Available from: http://ufdc.ufl.edu/UFE0044148.

Council of Science Editors:

Gerig BS. Site Occupancy and Habitat Selection of Endangered Humpback Chub during Experimental Flow Releases from Glen Canyon Dam in the Colorado River in Grand Canyon, Arizona. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044148


Texas A&M University

12. Gosangi, Rakesh. Active Control Strategies for Chemical Sensors and Sensor Arrays.

Degree: 2013, Texas A&M University

 Chemical sensors are generally used as one-dimensional devices, where one measures the sensor?s response at a fixed setting, e.g., infrared absorption at a specific wavelength,… (more)

Subjects/Keywords: Active sensing; Chemical sensors; Tunable sensors; Adaptive sensing; Markov models; Feature selection

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APA (6th Edition):

Gosangi, R. (2013). Active Control Strategies for Chemical Sensors and Sensor Arrays. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/151254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gosangi, Rakesh. “Active Control Strategies for Chemical Sensors and Sensor Arrays.” 2013. Thesis, Texas A&M University. Accessed May 20, 2019. http://hdl.handle.net/1969.1/151254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gosangi, Rakesh. “Active Control Strategies for Chemical Sensors and Sensor Arrays.” 2013. Web. 20 May 2019.

Vancouver:

Gosangi R. Active Control Strategies for Chemical Sensors and Sensor Arrays. [Internet] [Thesis]. Texas A&M University; 2013. [cited 2019 May 20]. Available from: http://hdl.handle.net/1969.1/151254.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gosangi R. Active Control Strategies for Chemical Sensors and Sensor Arrays. [Thesis]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/151254

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Louisiana State University

13. Hakes, Alyssa Stocks. Mechanisms Promoting Spatial and Temporal Variability in Plant Defense.

Degree: PhD, 2010, Louisiana State University

 Mechanisms responsible for the diversity of plant defenses in natural populations are poorly understood. This dissertation examines how environmental heterogeneity and succession influence the distribution,… (more)

Subjects/Keywords: Solidago altissima; succession; selection; tolerance; resistance; phenotypic plasticity; herbivory; adaptive landscape; autocorrelation; cost

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APA (6th Edition):

Hakes, A. S. (2010). Mechanisms Promoting Spatial and Temporal Variability in Plant Defense. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-06062010-192030 ; https://digitalcommons.lsu.edu/gradschool_dissertations/851

Chicago Manual of Style (16th Edition):

Hakes, Alyssa Stocks. “Mechanisms Promoting Spatial and Temporal Variability in Plant Defense.” 2010. Doctoral Dissertation, Louisiana State University. Accessed May 20, 2019. etd-06062010-192030 ; https://digitalcommons.lsu.edu/gradschool_dissertations/851.

MLA Handbook (7th Edition):

Hakes, Alyssa Stocks. “Mechanisms Promoting Spatial and Temporal Variability in Plant Defense.” 2010. Web. 20 May 2019.

Vancouver:

Hakes AS. Mechanisms Promoting Spatial and Temporal Variability in Plant Defense. [Internet] [Doctoral dissertation]. Louisiana State University; 2010. [cited 2019 May 20]. Available from: etd-06062010-192030 ; https://digitalcommons.lsu.edu/gradschool_dissertations/851.

Council of Science Editors:

Hakes AS. Mechanisms Promoting Spatial and Temporal Variability in Plant Defense. [Doctoral Dissertation]. Louisiana State University; 2010. Available from: etd-06062010-192030 ; https://digitalcommons.lsu.edu/gradschool_dissertations/851


University of California – Berkeley

14. Racimo, Fernando. Probabilistic Methods for the Inference of Selection and Demography from Ancient Human Genomes.

Degree: Integrative Biology, 2016, University of California – Berkeley

 Recently developed technologies for the recovery and sequencing of ancient DNA have generated an explosion of paleogenomic data in the last five years. In particular,… (more)

Subjects/Keywords: Biology; Genetics; Evolution & development; Adaptive introgression; Ancient DNA; Contamination; Denisova; Neanderthal; Positive selection

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APA (6th Edition):

Racimo, F. (2016). Probabilistic Methods for the Inference of Selection and Demography from Ancient Human Genomes. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4sz3d40b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Racimo, Fernando. “Probabilistic Methods for the Inference of Selection and Demography from Ancient Human Genomes.” 2016. Thesis, University of California – Berkeley. Accessed May 20, 2019. http://www.escholarship.org/uc/item/4sz3d40b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Racimo, Fernando. “Probabilistic Methods for the Inference of Selection and Demography from Ancient Human Genomes.” 2016. Web. 20 May 2019.

Vancouver:

Racimo F. Probabilistic Methods for the Inference of Selection and Demography from Ancient Human Genomes. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2019 May 20]. Available from: http://www.escholarship.org/uc/item/4sz3d40b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Racimo F. Probabilistic Methods for the Inference of Selection and Demography from Ancient Human Genomes. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/4sz3d40b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Berkeley

15. Goodman, Kari Roesch. Emerging Biodiversity: Diversification of the Hawaiian Nesosydne planthoppers.

Degree: Environmental Science, Policy, & Management, 2010, University of California – Berkeley

 Large species radiations provide exceptional opportunities for understanding the processes involved in the formation of new species. This research is focused on a species-rich lineage… (more)

Subjects/Keywords: Systematic biology; Ecology; Entomology; adaptive radiation; animal communication; Delphacidae; island biology; sexual selection; speciation

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APA (6th Edition):

Goodman, K. R. (2010). Emerging Biodiversity: Diversification of the Hawaiian Nesosydne planthoppers. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/3t46c36b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Goodman, Kari Roesch. “Emerging Biodiversity: Diversification of the Hawaiian Nesosydne planthoppers.” 2010. Thesis, University of California – Berkeley. Accessed May 20, 2019. http://www.escholarship.org/uc/item/3t46c36b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Goodman, Kari Roesch. “Emerging Biodiversity: Diversification of the Hawaiian Nesosydne planthoppers.” 2010. Web. 20 May 2019.

Vancouver:

Goodman KR. Emerging Biodiversity: Diversification of the Hawaiian Nesosydne planthoppers. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 May 20]. Available from: http://www.escholarship.org/uc/item/3t46c36b.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Goodman KR. Emerging Biodiversity: Diversification of the Hawaiian Nesosydne planthoppers. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/3t46c36b

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Duke University

16. Forester, Brenna. Using Landscape Genomics to Conserve Adaptive Capacity: A Case Study with a Southern Appalachian Salamander .

Degree: 2017, Duke University

  Landscape genomics is an emerging field that investigates how environmental features drive patterns of neutral and adaptive genetic variation across landscapes. Importantly, landscape genomics… (more)

Subjects/Keywords: Ecology; Genetics; Conservation biology; adaptive capacity; conservation genetics; evolutionary potential; landscape genomics; natural selection; salamanders

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Forester, B. (2017). Using Landscape Genomics to Conserve Adaptive Capacity: A Case Study with a Southern Appalachian Salamander . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14538

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Forester, Brenna. “Using Landscape Genomics to Conserve Adaptive Capacity: A Case Study with a Southern Appalachian Salamander .” 2017. Thesis, Duke University. Accessed May 20, 2019. http://hdl.handle.net/10161/14538.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Forester, Brenna. “Using Landscape Genomics to Conserve Adaptive Capacity: A Case Study with a Southern Appalachian Salamander .” 2017. Web. 20 May 2019.

Vancouver:

Forester B. Using Landscape Genomics to Conserve Adaptive Capacity: A Case Study with a Southern Appalachian Salamander . [Internet] [Thesis]. Duke University; 2017. [cited 2019 May 20]. Available from: http://hdl.handle.net/10161/14538.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Forester B. Using Landscape Genomics to Conserve Adaptive Capacity: A Case Study with a Southern Appalachian Salamander . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14538

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Montana Tech

17. Roffler, Gretchen. The influence of environmental heterogeneity on neutral and adaptive genetic structure in Dall's sheep (Ovis dalli dalli).

Degree: PhD, 2015, Montana Tech

 Information obtained from neutral genetic markers such as gene flow and population structure, paired with information from genes affected by natural selection can promote a… (more)

Subjects/Keywords: adaptive variation; environmental gradient; landscape genetics; population genomics; resource selection function; simulations

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APA (6th Edition):

Roffler, G. (2015). The influence of environmental heterogeneity on neutral and adaptive genetic structure in Dall's sheep (Ovis dalli dalli). (Doctoral Dissertation). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/4590

Chicago Manual of Style (16th Edition):

Roffler, Gretchen. “The influence of environmental heterogeneity on neutral and adaptive genetic structure in Dall's sheep (Ovis dalli dalli).” 2015. Doctoral Dissertation, Montana Tech. Accessed May 20, 2019. https://scholarworks.umt.edu/etd/4590.

MLA Handbook (7th Edition):

Roffler, Gretchen. “The influence of environmental heterogeneity on neutral and adaptive genetic structure in Dall's sheep (Ovis dalli dalli).” 2015. Web. 20 May 2019.

Vancouver:

Roffler G. The influence of environmental heterogeneity on neutral and adaptive genetic structure in Dall's sheep (Ovis dalli dalli). [Internet] [Doctoral dissertation]. Montana Tech; 2015. [cited 2019 May 20]. Available from: https://scholarworks.umt.edu/etd/4590.

Council of Science Editors:

Roffler G. The influence of environmental heterogeneity on neutral and adaptive genetic structure in Dall's sheep (Ovis dalli dalli). [Doctoral Dissertation]. Montana Tech; 2015. Available from: https://scholarworks.umt.edu/etd/4590


Clemson University

18. Li, Yifang. Shrinkage Estimation in Partially Linear Models with Measurement Error.

Degree: MS, Mathematical Science, 2010, Clemson University

 In practice, measurement error in the covariates is often encountered. Measurement error has several effects when using ordinary least squares for the regression problems. In… (more)

Subjects/Keywords: adaptive LASSO; measurement error; partially linear models; shirinkage estimation; variable selection; Statistics and Probability

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APA (6th Edition):

Li, Y. (2010). Shrinkage Estimation in Partially Linear Models with Measurement Error. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/824

Chicago Manual of Style (16th Edition):

Li, Yifang. “Shrinkage Estimation in Partially Linear Models with Measurement Error.” 2010. Masters Thesis, Clemson University. Accessed May 20, 2019. https://tigerprints.clemson.edu/all_theses/824.

MLA Handbook (7th Edition):

Li, Yifang. “Shrinkage Estimation in Partially Linear Models with Measurement Error.” 2010. Web. 20 May 2019.

Vancouver:

Li Y. Shrinkage Estimation in Partially Linear Models with Measurement Error. [Internet] [Masters thesis]. Clemson University; 2010. [cited 2019 May 20]. Available from: https://tigerprints.clemson.edu/all_theses/824.

Council of Science Editors:

Li Y. Shrinkage Estimation in Partially Linear Models with Measurement Error. [Masters Thesis]. Clemson University; 2010. Available from: https://tigerprints.clemson.edu/all_theses/824


Virginia Tech

19. Vance, Katelynn Atkins. Robust Control for Inter-area Oscillations.

Degree: MS, Electrical and Computer Engineering, 2011, Virginia Tech

 In order to reduce the detrimental effects of inter-area oscillations on system stability, it is possible to use Linear Matrix Inequalities (LMIs) to design a… (more)

Subjects/Keywords: Polytopic Model; Adaptive Selection; Convex Combination; Inter-area Oscillations; Linear Matrix Inequality (LMI) Control

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APA (6th Edition):

Vance, K. A. (2011). Robust Control for Inter-area Oscillations. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/36313

Chicago Manual of Style (16th Edition):

Vance, Katelynn Atkins. “Robust Control for Inter-area Oscillations.” 2011. Masters Thesis, Virginia Tech. Accessed May 20, 2019. http://hdl.handle.net/10919/36313.

MLA Handbook (7th Edition):

Vance, Katelynn Atkins. “Robust Control for Inter-area Oscillations.” 2011. Web. 20 May 2019.

Vancouver:

Vance KA. Robust Control for Inter-area Oscillations. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2019 May 20]. Available from: http://hdl.handle.net/10919/36313.

Council of Science Editors:

Vance KA. Robust Control for Inter-area Oscillations. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/36313


University of South Florida

20. Schmidt, Greg F. Computer Adaptive Rating Scales (CARS) for the Employment Interview.

Degree: 2011, University of South Florida

 This research investigates the effectiveness of computerized adaptive rating scales (CARS) in comparison to the relatively more common behavioral anchored ratings scales (BARS) format. The… (more)

Subjects/Keywords: adaptive rating; interview; performance appraisal; rating format; selection; American Studies; Arts and Humanities; Psychology

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APA (6th Edition):

Schmidt, G. F. (2011). Computer Adaptive Rating Scales (CARS) for the Employment Interview. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/3334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Schmidt, Greg F. “Computer Adaptive Rating Scales (CARS) for the Employment Interview.” 2011. Thesis, University of South Florida. Accessed May 20, 2019. https://scholarcommons.usf.edu/etd/3334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Schmidt, Greg F. “Computer Adaptive Rating Scales (CARS) for the Employment Interview.” 2011. Web. 20 May 2019.

Vancouver:

Schmidt GF. Computer Adaptive Rating Scales (CARS) for the Employment Interview. [Internet] [Thesis]. University of South Florida; 2011. [cited 2019 May 20]. Available from: https://scholarcommons.usf.edu/etd/3334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Schmidt GF. Computer Adaptive Rating Scales (CARS) for the Employment Interview. [Thesis]. University of South Florida; 2011. Available from: https://scholarcommons.usf.edu/etd/3334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Iowa

21. Liu, Li. Grouped variable selection in high dimensional partially linear additive Cox model.

Degree: PhD, Biostatistics, 2010, University of Iowa

  In the analysis of survival outcome supplemented with both clinical information and high-dimensional gene expression data, traditional Cox proportional hazard model fails to meet… (more)

Subjects/Keywords: adaptive group lasso; Cox Model; grouped variable selection; group lasso; high dimensional; penalized regression; Biostatistics

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APA (6th Edition):

Liu, L. (2010). Grouped variable selection in high dimensional partially linear additive Cox model. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/847

Chicago Manual of Style (16th Edition):

Liu, Li. “Grouped variable selection in high dimensional partially linear additive Cox model.” 2010. Doctoral Dissertation, University of Iowa. Accessed May 20, 2019. https://ir.uiowa.edu/etd/847.

MLA Handbook (7th Edition):

Liu, Li. “Grouped variable selection in high dimensional partially linear additive Cox model.” 2010. Web. 20 May 2019.

Vancouver:

Liu L. Grouped variable selection in high dimensional partially linear additive Cox model. [Internet] [Doctoral dissertation]. University of Iowa; 2010. [cited 2019 May 20]. Available from: https://ir.uiowa.edu/etd/847.

Council of Science Editors:

Liu L. Grouped variable selection in high dimensional partially linear additive Cox model. [Doctoral Dissertation]. University of Iowa; 2010. Available from: https://ir.uiowa.edu/etd/847


University of Alberta

22. Spencer, Stephen. The Increasing Prevalence of Smaller Fish in Highly Exploited Fisheries: Concerns, Diagnosis and Management Solutions.

Degree: PhD, Department of Renewable Resources, 2010, University of Alberta

 A decline in the size of fish within a population is concerning. Large-sized fish are ecologically important and valued for social and economic reasons. Following… (more)

Subjects/Keywords: life history theory; freshwater fisheries; minimum size limits; walleye; size selective harvest; tag harvest; compensatory growth; selection; active adaptive management

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APA (6th Edition):

Spencer, S. (2010). The Increasing Prevalence of Smaller Fish in Highly Exploited Fisheries: Concerns, Diagnosis and Management Solutions. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/pr76f341v

Chicago Manual of Style (16th Edition):

Spencer, Stephen. “The Increasing Prevalence of Smaller Fish in Highly Exploited Fisheries: Concerns, Diagnosis and Management Solutions.” 2010. Doctoral Dissertation, University of Alberta. Accessed May 20, 2019. https://era.library.ualberta.ca/files/pr76f341v.

MLA Handbook (7th Edition):

Spencer, Stephen. “The Increasing Prevalence of Smaller Fish in Highly Exploited Fisheries: Concerns, Diagnosis and Management Solutions.” 2010. Web. 20 May 2019.

Vancouver:

Spencer S. The Increasing Prevalence of Smaller Fish in Highly Exploited Fisheries: Concerns, Diagnosis and Management Solutions. [Internet] [Doctoral dissertation]. University of Alberta; 2010. [cited 2019 May 20]. Available from: https://era.library.ualberta.ca/files/pr76f341v.

Council of Science Editors:

Spencer S. The Increasing Prevalence of Smaller Fish in Highly Exploited Fisheries: Concerns, Diagnosis and Management Solutions. [Doctoral Dissertation]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/pr76f341v


Texas A&M University

23. Chander, Karthik Balachandran. Adaptive tool selection strategies for drilling in flexible manufacturing systems.

Degree: 2004, Texas A&M University

 The thesis presents an approach to adaptive decision making strategies to reduce bottlenecks in a drilling operation and to extend tool life. It is an… (more)

Subjects/Keywords: Adaptive Tool Selection; Flexible Manufacturing System; Drilling; Tool Life

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APA (6th Edition):

Chander, K. B. (2004). Adaptive tool selection strategies for drilling in flexible manufacturing systems. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/566

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chander, Karthik Balachandran. “Adaptive tool selection strategies for drilling in flexible manufacturing systems.” 2004. Thesis, Texas A&M University. Accessed May 20, 2019. http://hdl.handle.net/1969.1/566.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chander, Karthik Balachandran. “Adaptive tool selection strategies for drilling in flexible manufacturing systems.” 2004. Web. 20 May 2019.

Vancouver:

Chander KB. Adaptive tool selection strategies for drilling in flexible manufacturing systems. [Internet] [Thesis]. Texas A&M University; 2004. [cited 2019 May 20]. Available from: http://hdl.handle.net/1969.1/566.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chander KB. Adaptive tool selection strategies for drilling in flexible manufacturing systems. [Thesis]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/566

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

24. Wang, Yanqing. Relative Risks Analysis in Nutritional Epidemiology.

Degree: 2014, Texas A&M University

 Motivated by a logistic regression problem involving diet and cancer, we reconsider the problem of forming a confidence interval for the ratio of two location… (more)

Subjects/Keywords: Adaptive Lasso; DIMER; Direct Integral Method for Ratios; HEI-2005; I-spline; Relative Risk; Variable Selection.

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APA (6th Edition):

Wang, Y. (2014). Relative Risks Analysis in Nutritional Epidemiology. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153663

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Yanqing. “Relative Risks Analysis in Nutritional Epidemiology.” 2014. Thesis, Texas A&M University. Accessed May 20, 2019. http://hdl.handle.net/1969.1/153663.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Yanqing. “Relative Risks Analysis in Nutritional Epidemiology.” 2014. Web. 20 May 2019.

Vancouver:

Wang Y. Relative Risks Analysis in Nutritional Epidemiology. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 May 20]. Available from: http://hdl.handle.net/1969.1/153663.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang Y. Relative Risks Analysis in Nutritional Epidemiology. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153663

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


EPFL

25. Zhang, Runwei. Adaptive Selection Problems in Networked Systems.

Degree: 2015, EPFL

 Networked systems are composed of interconnected nodes that work collaboratively to maximize a given overall utility function. Typical examples of such systems are wireless sensor… (more)

Subjects/Keywords: networked system; wireless sensor networks; participatory sensing; resource efficiency; adaptive selection problem; network optimization; sparse sampling

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APA (6th Edition):

Zhang, R. (2015). Adaptive Selection Problems in Networked Systems. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/212930

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Runwei. “Adaptive Selection Problems in Networked Systems.” 2015. Thesis, EPFL. Accessed May 20, 2019. http://infoscience.epfl.ch/record/212930.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Runwei. “Adaptive Selection Problems in Networked Systems.” 2015. Web. 20 May 2019.

Vancouver:

Zhang R. Adaptive Selection Problems in Networked Systems. [Internet] [Thesis]. EPFL; 2015. [cited 2019 May 20]. Available from: http://infoscience.epfl.ch/record/212930.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang R. Adaptive Selection Problems in Networked Systems. [Thesis]. EPFL; 2015. Available from: http://infoscience.epfl.ch/record/212930

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan Technological University

26. McCorkle, Colin G. TANK SIZING AND OPTIMIZING LOOP PLACEMENT IN A BRANCHED WATER DISTRIBUTION SYSTEM.

Degree: MS, Department of Civil and Environmental Engineering, 2014, Michigan Technological University

  More than eighteen percent of the world’s population lives without reliable access to clean water, forced to walk long distances to get small amounts… (more)

Subjects/Keywords: clean water; water distribution system; Boajibu; Sierra Leone; Adaptive Greedy Heuristic Loop Addition Selection Algorithm (AGHLASA); Environmental Engineering

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APA (6th Edition):

McCorkle, C. G. (2014). TANK SIZING AND OPTIMIZING LOOP PLACEMENT IN A BRANCHED WATER DISTRIBUTION SYSTEM. (Masters Thesis). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etds/831

Chicago Manual of Style (16th Edition):

McCorkle, Colin G. “TANK SIZING AND OPTIMIZING LOOP PLACEMENT IN A BRANCHED WATER DISTRIBUTION SYSTEM.” 2014. Masters Thesis, Michigan Technological University. Accessed May 20, 2019. http://digitalcommons.mtu.edu/etds/831.

MLA Handbook (7th Edition):

McCorkle, Colin G. “TANK SIZING AND OPTIMIZING LOOP PLACEMENT IN A BRANCHED WATER DISTRIBUTION SYSTEM.” 2014. Web. 20 May 2019.

Vancouver:

McCorkle CG. TANK SIZING AND OPTIMIZING LOOP PLACEMENT IN A BRANCHED WATER DISTRIBUTION SYSTEM. [Internet] [Masters thesis]. Michigan Technological University; 2014. [cited 2019 May 20]. Available from: http://digitalcommons.mtu.edu/etds/831.

Council of Science Editors:

McCorkle CG. TANK SIZING AND OPTIMIZING LOOP PLACEMENT IN A BRANCHED WATER DISTRIBUTION SYSTEM. [Masters Thesis]. Michigan Technological University; 2014. Available from: http://digitalcommons.mtu.edu/etds/831


The Ohio State University

27. GU, Hairong. A Robust Adaptive Autonomous Approach to Optimal Experimental Design.

Degree: PhD, Psychology, 2016, The Ohio State University

 Experimentation is the fundamental tool of scientific inquiries to understand the laws governing the nature and human behaviors. Many complex real-world experimental scenarios, particularly in… (more)

Subjects/Keywords: Experimental Psychology; Experiments; Quantitative Psychology; experimentation; adaptive design optimization; nonparametric; variable selection; reverse prediction; robustness; efficiency

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APA (6th Edition):

GU, H. (2016). A Robust Adaptive Autonomous Approach to Optimal Experimental Design. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1471590586

Chicago Manual of Style (16th Edition):

GU, Hairong. “A Robust Adaptive Autonomous Approach to Optimal Experimental Design.” 2016. Doctoral Dissertation, The Ohio State University. Accessed May 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471590586.

MLA Handbook (7th Edition):

GU, Hairong. “A Robust Adaptive Autonomous Approach to Optimal Experimental Design.” 2016. Web. 20 May 2019.

Vancouver:

GU H. A Robust Adaptive Autonomous Approach to Optimal Experimental Design. [Internet] [Doctoral dissertation]. The Ohio State University; 2016. [cited 2019 May 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1471590586.

Council of Science Editors:

GU H. A Robust Adaptive Autonomous Approach to Optimal Experimental Design. [Doctoral Dissertation]. The Ohio State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1471590586

28. Pichler, P.P. Natural Selection, Adaptive Evolution and Diversity in Computational Ecosystems .

Degree: 2009, University of Hertfordshire

 The central goal of this thesis is to provide additional criteria towards implementing open-ended evolution in an artificial system. Methods inspired by biological evolution are… (more)

Subjects/Keywords: natural selection; open-ended evolution; computational ecosystems; adaptive behaviour; artificial life; evolution of diversity; evolution of complexity

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APA (6th Edition):

Pichler, P. P. (2009). Natural Selection, Adaptive Evolution and Diversity in Computational Ecosystems . (Thesis). University of Hertfordshire. Retrieved from http://hdl.handle.net/2299/4006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pichler, P P. “Natural Selection, Adaptive Evolution and Diversity in Computational Ecosystems .” 2009. Thesis, University of Hertfordshire. Accessed May 20, 2019. http://hdl.handle.net/2299/4006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pichler, P P. “Natural Selection, Adaptive Evolution and Diversity in Computational Ecosystems .” 2009. Web. 20 May 2019.

Vancouver:

Pichler PP. Natural Selection, Adaptive Evolution and Diversity in Computational Ecosystems . [Internet] [Thesis]. University of Hertfordshire; 2009. [cited 2019 May 20]. Available from: http://hdl.handle.net/2299/4006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pichler PP. Natural Selection, Adaptive Evolution and Diversity in Computational Ecosystems . [Thesis]. University of Hertfordshire; 2009. Available from: http://hdl.handle.net/2299/4006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Kentucky

29. Xie, Jin. THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION.

Degree: 2018, University of Kentucky

 When scientists know in advance that some features (variables) are important in modeling a data, then these important features should be kept in the model.… (more)

Subjects/Keywords: Generalized Conditional Adaptive Lasso; High-dimensional Data; Variable Screening; Variable Selection; Applied Statistics; Statistical Methodology; Statistical Models; Statistical Theory

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APA (6th Edition):

Xie, J. (2018). THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/statistics_etds/35

Chicago Manual of Style (16th Edition):

Xie, Jin. “THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION.” 2018. Doctoral Dissertation, University of Kentucky. Accessed May 20, 2019. https://uknowledge.uky.edu/statistics_etds/35.

MLA Handbook (7th Edition):

Xie, Jin. “THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION.” 2018. Web. 20 May 2019.

Vancouver:

Xie J. THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION. [Internet] [Doctoral dissertation]. University of Kentucky; 2018. [cited 2019 May 20]. Available from: https://uknowledge.uky.edu/statistics_etds/35.

Council of Science Editors:

Xie J. THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION. [Doctoral Dissertation]. University of Kentucky; 2018. Available from: https://uknowledge.uky.edu/statistics_etds/35


Washington University in St. Louis

30. Karande, Piyush. Development and Investigation of Sparse Co-Adaptive Algorithms in ECoG based Closed-Loop Brain Computer Interface.

Degree: PhD, Biomedical Engineering, 2016, Washington University in St. Louis

  Electrocorticography (ECoG) has gained a lot of momentum and has become a serious contender as a recording modality for the implementation of Brain-Computer Interface… (more)

Subjects/Keywords: Brain Computer Interfaces; Co-adaptive; ECoG; Feature Selection; Neural Engineering; Sparse Algorithms; Biomedical; Neuroscience and Neurobiology

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APA (6th Edition):

Karande, P. (2016). Development and Investigation of Sparse Co-Adaptive Algorithms in ECoG based Closed-Loop Brain Computer Interface. (Doctoral Dissertation). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/eng_etds/162

Chicago Manual of Style (16th Edition):

Karande, Piyush. “Development and Investigation of Sparse Co-Adaptive Algorithms in ECoG based Closed-Loop Brain Computer Interface.” 2016. Doctoral Dissertation, Washington University in St. Louis. Accessed May 20, 2019. https://openscholarship.wustl.edu/eng_etds/162.

MLA Handbook (7th Edition):

Karande, Piyush. “Development and Investigation of Sparse Co-Adaptive Algorithms in ECoG based Closed-Loop Brain Computer Interface.” 2016. Web. 20 May 2019.

Vancouver:

Karande P. Development and Investigation of Sparse Co-Adaptive Algorithms in ECoG based Closed-Loop Brain Computer Interface. [Internet] [Doctoral dissertation]. Washington University in St. Louis; 2016. [cited 2019 May 20]. Available from: https://openscholarship.wustl.edu/eng_etds/162.

Council of Science Editors:

Karande P. Development and Investigation of Sparse Co-Adaptive Algorithms in ECoG based Closed-Loop Brain Computer Interface. [Doctoral Dissertation]. Washington University in St. Louis; 2016. Available from: https://openscholarship.wustl.edu/eng_etds/162

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