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You searched for +publisher:"Oregon State University" +contributor:("Dietterich, Thomas G."). Showing records 1 – 30 of 40 total matches.

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Oregon State University

1. Zhang, Wei. Image features and learning algorithms for biological, generic and social object recognition.

Degree: PhD, Electrical and Computer Engineering, 2009, Oregon State University

 Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been… (more)

Subjects/Keywords: object recognition; Optical pattern recognition  – Mathematical models

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APA (6th Edition):

Zhang, W. (2009). Image features and learning algorithms for biological, generic and social object recognition. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11178

Chicago Manual of Style (16th Edition):

Zhang, Wei. “Image features and learning algorithms for biological, generic and social object recognition.” 2009. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/11178.

MLA Handbook (7th Edition):

Zhang, Wei. “Image features and learning algorithms for biological, generic and social object recognition.” 2009. Web. 22 Apr 2019.

Vancouver:

Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/11178.

Council of Science Editors:

Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/11178


Oregon State University

2. Bao, Xinlong. Applying machine learning for prediction, recommendation, and integration.

Degree: PhD, Computer Science, 2009, Oregon State University

 This dissertation explores the idea of applying machine learning technologies to help computer users find information and better organize electronic resources, by presenting the research… (more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Bao, X. (2009). Applying machine learning for prediction, recommendation, and integration. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/12549

Chicago Manual of Style (16th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/12549.

MLA Handbook (7th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Web. 22 Apr 2019.

Vancouver:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/12549.

Council of Science Editors:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12549


Oregon State University

3. Hao, Guohua. Efficient training and feature induction in sequential supervised learning.

Degree: PhD, Computer Science, 2009, Oregon State University

 Sequential supervised learning problems arise in many real applications. This dissertation focuses on two important research directions in sequential supervised learning: efficient training and feature… (more)

Subjects/Keywords: Machine Learning; Supervised learning (Machine learning)  – Mathematical models

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APA (6th Edition):

Hao, G. (2009). Efficient training and feature induction in sequential supervised learning. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/12548

Chicago Manual of Style (16th Edition):

Hao, Guohua. “Efficient training and feature induction in sequential supervised learning.” 2009. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/12548.

MLA Handbook (7th Edition):

Hao, Guohua. “Efficient training and feature induction in sequential supervised learning.” 2009. Web. 22 Apr 2019.

Vancouver:

Hao G. Efficient training and feature induction in sequential supervised learning. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/12548.

Council of Science Editors:

Hao G. Efficient training and feature induction in sequential supervised learning. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12548


Oregon State University

4. Hostetler, Jesse A. Monte Carlo Tree Search with Fixed and Adaptive Abstractions.

Degree: PhD, Computer Science, 2017, Oregon State University

 Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in… (more)

Subjects/Keywords: Artificial intelligence; Markov processes

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APA (6th Edition):

Hostetler, J. A. (2017). Monte Carlo Tree Search with Fixed and Adaptive Abstractions. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60635

Chicago Manual of Style (16th Edition):

Hostetler, Jesse A. “Monte Carlo Tree Search with Fixed and Adaptive Abstractions.” 2017. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/60635.

MLA Handbook (7th Edition):

Hostetler, Jesse A. “Monte Carlo Tree Search with Fixed and Adaptive Abstractions.” 2017. Web. 22 Apr 2019.

Vancouver:

Hostetler JA. Monte Carlo Tree Search with Fixed and Adaptive Abstractions. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/60635.

Council of Science Editors:

Hostetler JA. Monte Carlo Tree Search with Fixed and Adaptive Abstractions. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60635


Oregon State University

5. Alkaee Taleghan, Majid. Simulator-Defined MDP Planning with Applications in Natural Resource Management.

Degree: PhD, Computer Science, 2017, Oregon State University

 This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable… (more)

Subjects/Keywords: Markov Decision Processes; Markov processes

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APA (6th Edition):

Alkaee Taleghan, M. (2017). Simulator-Defined MDP Planning with Applications in Natural Resource Management. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/60125

Chicago Manual of Style (16th Edition):

Alkaee Taleghan, Majid. “Simulator-Defined MDP Planning with Applications in Natural Resource Management.” 2017. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/60125.

MLA Handbook (7th Edition):

Alkaee Taleghan, Majid. “Simulator-Defined MDP Planning with Applications in Natural Resource Management.” 2017. Web. 22 Apr 2019.

Vancouver:

Alkaee Taleghan M. Simulator-Defined MDP Planning with Applications in Natural Resource Management. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/60125.

Council of Science Editors:

Alkaee Taleghan M. Simulator-Defined MDP Planning with Applications in Natural Resource Management. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60125


Oregon State University

6. Lauer, Christopher Joseph. Determining optimal timber harvest and fuel treatment on a fire-threatened landscape using approximate dynamic programming.

Degree: PhD, 2017, Oregon State University

 Forest management in the face of fire risk is a challenging problem because fire spreads across a landscape and because its occurrence is unpredictable. Additionally,… (more)

Subjects/Keywords: reinforcement learning

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APA (6th Edition):

Lauer, C. J. (2017). Determining optimal timber harvest and fuel treatment on a fire-threatened landscape using approximate dynamic programming. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61678

Chicago Manual of Style (16th Edition):

Lauer, Christopher Joseph. “Determining optimal timber harvest and fuel treatment on a fire-threatened landscape using approximate dynamic programming.” 2017. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/61678.

MLA Handbook (7th Edition):

Lauer, Christopher Joseph. “Determining optimal timber harvest and fuel treatment on a fire-threatened landscape using approximate dynamic programming.” 2017. Web. 22 Apr 2019.

Vancouver:

Lauer CJ. Determining optimal timber harvest and fuel treatment on a fire-threatened landscape using approximate dynamic programming. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/61678.

Council of Science Editors:

Lauer CJ. Determining optimal timber harvest and fuel treatment on a fire-threatened landscape using approximate dynamic programming. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61678

7. Doppa, Janardhan Rao. Integrating learning and search for structured prediction.

Degree: PhD, Computer Science, 2014, Oregon State University

 We are witnessing the rise of the data-driven science paradigm, in which massive amounts of data - much of it collected as a side-effect of… (more)

Subjects/Keywords: Structured Prediction; Machine learning

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APA (6th Edition):

Doppa, J. R. (2014). Integrating learning and search for structured prediction. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/50908

Chicago Manual of Style (16th Edition):

Doppa, Janardhan Rao. “Integrating learning and search for structured prediction.” 2014. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/50908.

MLA Handbook (7th Edition):

Doppa, Janardhan Rao. “Integrating learning and search for structured prediction.” 2014. Web. 22 Apr 2019.

Vancouver:

Doppa JR. Integrating learning and search for structured prediction. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/50908.

Council of Science Editors:

Doppa JR. Integrating learning and search for structured prediction. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/50908

8. Keiser, Victoria L. Evaluating online text classification algorithms for email prediction in TaskTracer.

Degree: MS, Computer Science, 2009, Oregon State University

 This paper examines how six online multiclass text classification algorithms perform in the domain of email tagging within the TaskTracer system. TaskTracer is a project-oriented… (more)

Subjects/Keywords: email; Learning classifier systems

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APA (6th Edition):

Keiser, V. L. (2009). Evaluating online text classification algorithms for email prediction in TaskTracer. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/11870

Chicago Manual of Style (16th Edition):

Keiser, Victoria L. “Evaluating online text classification algorithms for email prediction in TaskTracer.” 2009. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/11870.

MLA Handbook (7th Edition):

Keiser, Victoria L. “Evaluating online text classification algorithms for email prediction in TaskTracer.” 2009. Web. 22 Apr 2019.

Vancouver:

Keiser VL. Evaluating online text classification algorithms for email prediction in TaskTracer. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/11870.

Council of Science Editors:

Keiser VL. Evaluating online text classification algorithms for email prediction in TaskTracer. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/11870

9. Xie, Jun. Learning greedy policies for the easy-first framework.

Degree: MS, Computer Science, 2014, Oregon State University

 Easy-first, a search-based structured prediction approach, has been applied to many NLP tasks including dependency parsing and coreference resolution. This approach employs a learned greedy… (more)

Subjects/Keywords: Structured Prediction; Machine learning

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APA (6th Edition):

Xie, J. (2014). Learning greedy policies for the easy-first framework. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/46790

Chicago Manual of Style (16th Edition):

Xie, Jun. “Learning greedy policies for the easy-first framework.” 2014. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/46790.

MLA Handbook (7th Edition):

Xie, Jun. “Learning greedy policies for the easy-first framework.” 2014. Web. 22 Apr 2019.

Vancouver:

Xie J. Learning greedy policies for the easy-first framework. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/46790.

Council of Science Editors:

Xie J. Learning greedy policies for the easy-first framework. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/46790

10. Xu, Yuehua. Learning ranking functions for efficient search.

Degree: PhD, Computer Science, 2010, Oregon State University

 This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam… (more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Xu, Y. (2010). Learning ranking functions for efficient search. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/17553

Chicago Manual of Style (16th Edition):

Xu, Yuehua. “Learning ranking functions for efficient search.” 2010. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/17553.

MLA Handbook (7th Edition):

Xu, Yuehua. “Learning ranking functions for efficient search.” 2010. Web. 22 Apr 2019.

Vancouver:

Xu Y. Learning ranking functions for efficient search. [Internet] [Doctoral dissertation]. Oregon State University; 2010. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/17553.

Council of Science Editors:

Xu Y. Learning ranking functions for efficient search. [Doctoral Dissertation]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/17553

11. Judah, Kshitij. New learning modes for sequential decision making.

Degree: PhD, Computer Science, 2014, Oregon State University

 This thesis considers the problem in which a teacher is interested in teaching action policies to computer agents for sequential decision making. The vast majority… (more)

Subjects/Keywords: Sequential Decision Making; Machine learning

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APA (6th Edition):

Judah, K. (2014). New learning modes for sequential decision making. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/47464

Chicago Manual of Style (16th Edition):

Judah, Kshitij. “New learning modes for sequential decision making.” 2014. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/47464.

MLA Handbook (7th Edition):

Judah, Kshitij. “New learning modes for sequential decision making.” 2014. Web. 22 Apr 2019.

Vancouver:

Judah K. New learning modes for sequential decision making. [Internet] [Doctoral dissertation]. Oregon State University; 2014. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/47464.

Council of Science Editors:

Judah K. New learning modes for sequential decision making. [Doctoral Dissertation]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/47464

12. Dereszynski, Ethan W. Probabilistic models for quality control in environmental sensor networks.

Degree: PhD, Computer Science, 2012, Oregon State University

 Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject… (more)

Subjects/Keywords: Bayesian Networks; Sensor networks  – Quality control

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APA (6th Edition):

Dereszynski, E. W. (2012). Probabilistic models for quality control in environmental sensor networks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/30896

Chicago Manual of Style (16th Edition):

Dereszynski, Ethan W. “Probabilistic models for quality control in environmental sensor networks.” 2012. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/30896.

MLA Handbook (7th Edition):

Dereszynski, Ethan W. “Probabilistic models for quality control in environmental sensor networks.” 2012. Web. 22 Apr 2019.

Vancouver:

Dereszynski EW. Probabilistic models for quality control in environmental sensor networks. [Internet] [Doctoral dissertation]. Oregon State University; 2012. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/30896.

Council of Science Editors:

Dereszynski EW. Probabilistic models for quality control in environmental sensor networks. [Doctoral Dissertation]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/30896


Oregon State University

13. Ashenfelter, Adam J. Sequential supervised learning and conditional random fields.

Degree: MS, Computer Science, 2003, Oregon State University

 Supervised learning is concerned with discovering the relationship between example sets of features and their corresponding classes. The traditional supervised learning formulation assumes that all… (more)

Subjects/Keywords: Supervised learning (Machine learning)

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APA (6th Edition):

Ashenfelter, A. J. (2003). Sequential supervised learning and conditional random fields. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10165

Chicago Manual of Style (16th Edition):

Ashenfelter, Adam J. “Sequential supervised learning and conditional random fields.” 2003. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/10165.

MLA Handbook (7th Edition):

Ashenfelter, Adam J. “Sequential supervised learning and conditional random fields.” 2003. Web. 22 Apr 2019.

Vancouver:

Ashenfelter AJ. Sequential supervised learning and conditional random fields. [Internet] [Masters thesis]. Oregon State University; 2003. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/10165.

Council of Science Editors:

Ashenfelter AJ. Sequential supervised learning and conditional random fields. [Masters Thesis]. Oregon State University; 2003. Available from: http://hdl.handle.net/1957/10165


Oregon State University

14. Kelm, Bernd Michael. Demosaicking of color images by means of conditional random fields.

Degree: MS, Computer Science, 2003, Oregon State University

 Modern digital still cameras are equipped with just a single CCD for color image acquisition. Since only one spectral band can be recorded in each… (more)

Subjects/Keywords: Digital cameras

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APA (6th Edition):

Kelm, B. M. (2003). Demosaicking of color images by means of conditional random fields. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10223

Chicago Manual of Style (16th Edition):

Kelm, Bernd Michael. “Demosaicking of color images by means of conditional random fields.” 2003. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/10223.

MLA Handbook (7th Edition):

Kelm, Bernd Michael. “Demosaicking of color images by means of conditional random fields.” 2003. Web. 22 Apr 2019.

Vancouver:

Kelm BM. Demosaicking of color images by means of conditional random fields. [Internet] [Masters thesis]. Oregon State University; 2003. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/10223.

Council of Science Editors:

Kelm BM. Demosaicking of color images by means of conditional random fields. [Masters Thesis]. Oregon State University; 2003. Available from: http://hdl.handle.net/1957/10223


Oregon State University

15. Wettschereck, Dietrich. A study of distance-based machine learning algorithms.

Degree: PhD, Computer Science, 1994, Oregon State University

 Distance-based algorithms are machine learning algorithms that classify queries by computing distances between these queries and a number of internally stored exemplars. Exemplars that are… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Wettschereck, D. (1994). A study of distance-based machine learning algorithms. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/10311

Chicago Manual of Style (16th Edition):

Wettschereck, Dietrich. “A study of distance-based machine learning algorithms.” 1994. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/10311.

MLA Handbook (7th Edition):

Wettschereck, Dietrich. “A study of distance-based machine learning algorithms.” 1994. Web. 22 Apr 2019.

Vancouver:

Wettschereck D. A study of distance-based machine learning algorithms. [Internet] [Doctoral dissertation]. Oregon State University; 1994. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/10311.

Council of Science Editors:

Wettschereck D. A study of distance-based machine learning algorithms. [Doctoral Dissertation]. Oregon State University; 1994. Available from: http://hdl.handle.net/1957/10311


Oregon State University

16. Altendorf, Eric E. Constraining Bayesian network learning with qualitative models.

Degree: MS, Computer Science, 2005, Oregon State University

 Machine learning encompasses probabilistic and statistical techniques that can build models from large quantities of extensional information (examples) with minimal dependence on intensional information (domain… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Altendorf, E. E. (2005). Constraining Bayesian network learning with qualitative models. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/22381

Chicago Manual of Style (16th Edition):

Altendorf, Eric E. “Constraining Bayesian network learning with qualitative models.” 2005. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/22381.

MLA Handbook (7th Edition):

Altendorf, Eric E. “Constraining Bayesian network learning with qualitative models.” 2005. Web. 22 Apr 2019.

Vancouver:

Altendorf EE. Constraining Bayesian network learning with qualitative models. [Internet] [Masters thesis]. Oregon State University; 2005. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/22381.

Council of Science Editors:

Altendorf EE. Constraining Bayesian network learning with qualitative models. [Masters Thesis]. Oregon State University; 2005. Available from: http://hdl.handle.net/1957/22381


Oregon State University

17. Kong, Eun Bae. Understanding and improving error-correcting output coding.

Degree: PhD, Computer Science, 1995, Oregon State University

 Error-correcting output coding (ECOC) is a method for converting a k-class supervised learning problem into a large number L of two-class supervised learning problems and… (more)

Subjects/Keywords: Error-correcting codes (Information theory)

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APA (6th Edition):

Kong, E. B. (1995). Understanding and improving error-correcting output coding. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11553

Chicago Manual of Style (16th Edition):

Kong, Eun Bae. “Understanding and improving error-correcting output coding.” 1995. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/11553.

MLA Handbook (7th Edition):

Kong, Eun Bae. “Understanding and improving error-correcting output coding.” 1995. Web. 22 Apr 2019.

Vancouver:

Kong EB. Understanding and improving error-correcting output coding. [Internet] [Doctoral dissertation]. Oregon State University; 1995. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/11553.

Council of Science Editors:

Kong EB. Understanding and improving error-correcting output coding. [Doctoral Dissertation]. Oregon State University; 1995. Available from: http://hdl.handle.net/1957/11553


Oregon State University

18. Damon, Diane L. Three methods for estimating subpixel cover fractions in coarse resolution imagery.

Degree: MS, Computer Science, 2003, Oregon State University

 Coarse resolution imagery, such as that produced by the MODIS instrument, poses the challenge of estimating sub-pixel proportions of di erent land cover types. This… (more)

Subjects/Keywords: Vegetation mapping  – Remote sensing  – Mathematical models

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APA (6th Edition):

Damon, D. L. (2003). Three methods for estimating subpixel cover fractions in coarse resolution imagery. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/11544

Chicago Manual of Style (16th Edition):

Damon, Diane L. “Three methods for estimating subpixel cover fractions in coarse resolution imagery.” 2003. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/11544.

MLA Handbook (7th Edition):

Damon, Diane L. “Three methods for estimating subpixel cover fractions in coarse resolution imagery.” 2003. Web. 22 Apr 2019.

Vancouver:

Damon DL. Three methods for estimating subpixel cover fractions in coarse resolution imagery. [Internet] [Masters thesis]. Oregon State University; 2003. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/11544.

Council of Science Editors:

Damon DL. Three methods for estimating subpixel cover fractions in coarse resolution imagery. [Masters Thesis]. Oregon State University; 2003. Available from: http://hdl.handle.net/1957/11544


Oregon State University

19. Sinha, Shriprakash. Leaf shape recognition via support vector machines with edit distance kernels.

Degree: MS, Computer Science, 2004, Oregon State University

 Edit distances are a well-established technique for classification problems. They have been employed successfully in many classification problems including chromosome classification and hand-written digit recognition.… (more)

Subjects/Keywords: Leaves  – Identification  – Computer programs

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APA (6th Edition):

Sinha, S. (2004). Leaf shape recognition via support vector machines with edit distance kernels. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/11793

Chicago Manual of Style (16th Edition):

Sinha, Shriprakash. “Leaf shape recognition via support vector machines with edit distance kernels.” 2004. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/11793.

MLA Handbook (7th Edition):

Sinha, Shriprakash. “Leaf shape recognition via support vector machines with edit distance kernels.” 2004. Web. 22 Apr 2019.

Vancouver:

Sinha S. Leaf shape recognition via support vector machines with edit distance kernels. [Internet] [Masters thesis]. Oregon State University; 2004. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/11793.

Council of Science Editors:

Sinha S. Leaf shape recognition via support vector machines with edit distance kernels. [Masters Thesis]. Oregon State University; 2004. Available from: http://hdl.handle.net/1957/11793


Oregon State University

20. Margineantu, Dragos D. (Dragos Dorin). Methods for cost-sensitive learning.

Degree: PhD, Computer Science, 2001, Oregon State University

 Many approaches for achieving intelligent behavior of automated (computer) systems involve components that learn from past experience. This dissertation studies computational methods for learning from… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Margineantu, D. D. (. D. (2001). Methods for cost-sensitive learning. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11821

Chicago Manual of Style (16th Edition):

Margineantu, Dragos D (Dragos Dorin). “Methods for cost-sensitive learning.” 2001. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/11821.

MLA Handbook (7th Edition):

Margineantu, Dragos D (Dragos Dorin). “Methods for cost-sensitive learning.” 2001. Web. 22 Apr 2019.

Vancouver:

Margineantu DD(D. Methods for cost-sensitive learning. [Internet] [Doctoral dissertation]. Oregon State University; 2001. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/11821.

Council of Science Editors:

Margineantu DD(D. Methods for cost-sensitive learning. [Doctoral Dissertation]. Oregon State University; 2001. Available from: http://hdl.handle.net/1957/11821


Oregon State University

21. Flann, Nicholas S. Learning functional descriptions from examples.

Degree: MS, Computer Science, 1986, Oregon State University

 The task of inductive learning from examples places constraints on the representation of training instances and concepts. These constraints are different from, and often incompatible… (more)

Subjects/Keywords: Computer-assisted instruction  – Programming

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APA (6th Edition):

Flann, N. S. (1986). Learning functional descriptions from examples. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/40354

Chicago Manual of Style (16th Edition):

Flann, Nicholas S. “Learning functional descriptions from examples.” 1986. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/40354.

MLA Handbook (7th Edition):

Flann, Nicholas S. “Learning functional descriptions from examples.” 1986. Web. 22 Apr 2019.

Vancouver:

Flann NS. Learning functional descriptions from examples. [Internet] [Masters thesis]. Oregon State University; 1986. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/40354.

Council of Science Editors:

Flann NS. Learning functional descriptions from examples. [Masters Thesis]. Oregon State University; 1986. Available from: http://hdl.handle.net/1957/40354


Oregon State University

22. Koff, Caroline Nan. A specialized ATMS for equivalence relations.

Degree: MS, Computer Science, 1988, Oregon State University

 A specialized ATMS for efficiently computing equivalence relations in multiple contexts is introduced. This specialized ATMS overcomes the problems with existing solutions to reasoning with… (more)

Subjects/Keywords: Parallel programming (Computer science)

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APA (6th Edition):

Koff, C. N. (1988). A specialized ATMS for equivalence relations. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/40395

Chicago Manual of Style (16th Edition):

Koff, Caroline Nan. “A specialized ATMS for equivalence relations.” 1988. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/40395.

MLA Handbook (7th Edition):

Koff, Caroline Nan. “A specialized ATMS for equivalence relations.” 1988. Web. 22 Apr 2019.

Vancouver:

Koff CN. A specialized ATMS for equivalence relations. [Internet] [Masters thesis]. Oregon State University; 1988. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/40395.

Council of Science Editors:

Koff CN. A specialized ATMS for equivalence relations. [Masters Thesis]. Oregon State University; 1988. Available from: http://hdl.handle.net/1957/40395


Oregon State University

23. Corpron, Daniel R. Disjunctions in forward chaining logic programming.

Degree: MS, Computer Science, 1986, Oregon State University

 A forward-chaining logic programming system (FORLOG) has been developed at Oregon State University. This system coupled with an assumption-based truth maintenance system (ATMS), provides an… (more)

Subjects/Keywords: Logic design  – Computer programs

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APA (6th Edition):

Corpron, D. R. (1986). Disjunctions in forward chaining logic programming. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39840

Chicago Manual of Style (16th Edition):

Corpron, Daniel R. “Disjunctions in forward chaining logic programming.” 1986. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/39840.

MLA Handbook (7th Edition):

Corpron, Daniel R. “Disjunctions in forward chaining logic programming.” 1986. Web. 22 Apr 2019.

Vancouver:

Corpron DR. Disjunctions in forward chaining logic programming. [Internet] [Masters thesis]. Oregon State University; 1986. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/39840.

Council of Science Editors:

Corpron DR. Disjunctions in forward chaining logic programming. [Masters Thesis]. Oregon State University; 1986. Available from: http://hdl.handle.net/1957/39840


Oregon State University

24. Langford, Bill T. Classification context in a machine learning approach to predicting protein secondary structure.

Degree: MS, Computer Science, 1993, Oregon State University

 An important problem in molecular biology is to predict the secondary structure of proteins from their primary structure. The primary structure of a protein is… (more)

Subjects/Keywords: Proteins  – Structure

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APA (6th Edition):

Langford, B. T. (1993). Classification context in a machine learning approach to predicting protein secondary structure. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/35946

Chicago Manual of Style (16th Edition):

Langford, Bill T. “Classification context in a machine learning approach to predicting protein secondary structure.” 1993. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/35946.

MLA Handbook (7th Edition):

Langford, Bill T. “Classification context in a machine learning approach to predicting protein secondary structure.” 1993. Web. 22 Apr 2019.

Vancouver:

Langford BT. Classification context in a machine learning approach to predicting protein secondary structure. [Internet] [Masters thesis]. Oregon State University; 1993. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/35946.

Council of Science Editors:

Langford BT. Classification context in a machine learning approach to predicting protein secondary structure. [Masters Thesis]. Oregon State University; 1993. Available from: http://hdl.handle.net/1957/35946


Oregon State University

25. Fountain, Tony R. Just enough die-level functional test : optimizing IC test via machine learning and decision theory.

Degree: PhD, Computer Science, 1998, Oregon State University

 This research explores the hypothesis that methods from decision theory and machine learning can be combined to provide practical solutions to current manufacturing control problems.… (more)

Subjects/Keywords: Statistical decision

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APA (6th Edition):

Fountain, T. R. (1998). Just enough die-level functional test : optimizing IC test via machine learning and decision theory. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/33301

Chicago Manual of Style (16th Edition):

Fountain, Tony R. “Just enough die-level functional test : optimizing IC test via machine learning and decision theory.” 1998. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/33301.

MLA Handbook (7th Edition):

Fountain, Tony R. “Just enough die-level functional test : optimizing IC test via machine learning and decision theory.” 1998. Web. 22 Apr 2019.

Vancouver:

Fountain TR. Just enough die-level functional test : optimizing IC test via machine learning and decision theory. [Internet] [Doctoral dissertation]. Oregon State University; 1998. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/33301.

Council of Science Editors:

Fountain TR. Just enough die-level functional test : optimizing IC test via machine learning and decision theory. [Doctoral Dissertation]. Oregon State University; 1998. Available from: http://hdl.handle.net/1957/33301


Oregon State University

26. Almuallim, Hussein Saleh. Concept coverage and its application to two learning tasks.

Degree: PhD, Computer Science, 1992, Oregon State University

 The coverage of a learning algorithm is the number of concepts that can be learned by that algorithm from samples of a given size for… (more)

Subjects/Keywords: Learning; Psychology of  – Mathematical models

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APA (6th Edition):

Almuallim, H. S. (1992). Concept coverage and its application to two learning tasks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/36156

Chicago Manual of Style (16th Edition):

Almuallim, Hussein Saleh. “Concept coverage and its application to two learning tasks.” 1992. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/36156.

MLA Handbook (7th Edition):

Almuallim, Hussein Saleh. “Concept coverage and its application to two learning tasks.” 1992. Web. 22 Apr 2019.

Vancouver:

Almuallim HS. Concept coverage and its application to two learning tasks. [Internet] [Doctoral dissertation]. Oregon State University; 1992. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/36156.

Council of Science Editors:

Almuallim HS. Concept coverage and its application to two learning tasks. [Doctoral Dissertation]. Oregon State University; 1992. Available from: http://hdl.handle.net/1957/36156


Oregon State University

27. Joshi, Varad Vidyadhar. Expert-gate algorithm.

Degree: MS, Computer Science, 1992, Oregon State University

 The goal of Inductive Learning is to produce general rules from a set of seen examples, which can then be applied to other unseen examples.… (more)

Subjects/Keywords: Computer algorithms

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APA (6th Edition):

Joshi, V. V. (1992). Expert-gate algorithm. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/36248

Chicago Manual of Style (16th Edition):

Joshi, Varad Vidyadhar. “Expert-gate algorithm.” 1992. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/36248.

MLA Handbook (7th Edition):

Joshi, Varad Vidyadhar. “Expert-gate algorithm.” 1992. Web. 22 Apr 2019.

Vancouver:

Joshi VV. Expert-gate algorithm. [Internet] [Masters thesis]. Oregon State University; 1992. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/36248.

Council of Science Editors:

Joshi VV. Expert-gate algorithm. [Masters Thesis]. Oregon State University; 1992. Available from: http://hdl.handle.net/1957/36248


Oregon State University

28. Chamberlin, Martha J. Relationship of pauses to problem solving events in mechanical design protocols.

Degree: MS, Computer Science, 1990, Oregon State University

 This thesis compares two methods for studying the problem-solving processes of mechanical design engineers. The first method, verbal protocol analysis, was applied by L. Stauffer… (more)

Subjects/Keywords: Problem solving

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APA (6th Edition):

Chamberlin, M. J. (1990). Relationship of pauses to problem solving events in mechanical design protocols. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/37330

Chicago Manual of Style (16th Edition):

Chamberlin, Martha J. “Relationship of pauses to problem solving events in mechanical design protocols.” 1990. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/37330.

MLA Handbook (7th Edition):

Chamberlin, Martha J. “Relationship of pauses to problem solving events in mechanical design protocols.” 1990. Web. 22 Apr 2019.

Vancouver:

Chamberlin MJ. Relationship of pauses to problem solving events in mechanical design protocols. [Internet] [Masters thesis]. Oregon State University; 1990. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/37330.

Council of Science Editors:

Chamberlin MJ. Relationship of pauses to problem solving events in mechanical design protocols. [Masters Thesis]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/37330


Oregon State University

29. Wettschereck, Dietrich. An implementation and initial test of generalized radial basis functions.

Degree: MS, Computer Science, 1990, Oregon State University

 Generalized Radial Basis Functions were used to construct networks that learn input-output mappings from given data. They are developed out of a theoretical framework for… (more)

Subjects/Keywords: Neural networks (Computer science)

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APA (6th Edition):

Wettschereck, D. (1990). An implementation and initial test of generalized radial basis functions. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/37667

Chicago Manual of Style (16th Edition):

Wettschereck, Dietrich. “An implementation and initial test of generalized radial basis functions.” 1990. Masters Thesis, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/37667.

MLA Handbook (7th Edition):

Wettschereck, Dietrich. “An implementation and initial test of generalized radial basis functions.” 1990. Web. 22 Apr 2019.

Vancouver:

Wettschereck D. An implementation and initial test of generalized radial basis functions. [Internet] [Masters thesis]. Oregon State University; 1990. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/37667.

Council of Science Editors:

Wettschereck D. An implementation and initial test of generalized radial basis functions. [Masters Thesis]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/37667


Oregon State University

30. Ruff, Ritchey Alvin. An empirical study into learning through experimentation.

Degree: PhD, Computer Science, 1990, Oregon State University

 A key aspect of how we understand the world revolves around an ability to manipulate our surroundings to experiment. From the scientific method through theories… (more)

Subjects/Keywords: Human information processing

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APA (6th Edition):

Ruff, R. A. (1990). An empirical study into learning through experimentation. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/37964

Chicago Manual of Style (16th Edition):

Ruff, Ritchey Alvin. “An empirical study into learning through experimentation.” 1990. Doctoral Dissertation, Oregon State University. Accessed April 22, 2019. http://hdl.handle.net/1957/37964.

MLA Handbook (7th Edition):

Ruff, Ritchey Alvin. “An empirical study into learning through experimentation.” 1990. Web. 22 Apr 2019.

Vancouver:

Ruff RA. An empirical study into learning through experimentation. [Internet] [Doctoral dissertation]. Oregon State University; 1990. [cited 2019 Apr 22]. Available from: http://hdl.handle.net/1957/37964.

Council of Science Editors:

Ruff RA. An empirical study into learning through experimentation. [Doctoral Dissertation]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/37964

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