Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Montana State University" +contributor:("Chairperson, Graduate Committee: John Sheppard."). Showing records 1 – 8 of 8 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Ryhajlo, Nicholas Frank. Fuzzy Bayesian networks for prognostics and health management.

Degree: College of Engineering, 2013, Montana State University

 In systems diagnostics it is often difficult to define test requirements and acceptance thresholds for these tests. A technique that can be used to alleviate… (more)

Subjects/Keywords: Fuzzy algorithms.; Health planning.

…In the context of system health monitoring the Montana State University Space Science and… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ryhajlo, N. F. (2013). Fuzzy Bayesian networks for prognostics and health management. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/2904

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):

Ryhajlo, Nicholas Frank. “Fuzzy Bayesian networks for prognostics and health management.” 2013. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/2904.

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

MLA Handbook (7th Edition):

Ryhajlo, Nicholas Frank. “Fuzzy Bayesian networks for prognostics and health management.” 2013. Web. 18 Apr 2019.

Vancouver:

Ryhajlo NF. Fuzzy Bayesian networks for prognostics and health management. [Internet] [Thesis]. Montana State University; 2013. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/2904.

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

Council of Science Editors:

Ryhajlo NF. Fuzzy Bayesian networks for prognostics and health management. [Thesis]. Montana State University; 2013. Available from: https://scholarworks.montana.edu/xmlui/handle/1/2904

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


Montana State University

2. Donnelly, Patrick Joseph. Learning spectral filters for single- and multi-label classification of musical instruments.

Degree: College of Engineering, 2015, Montana State University

 Musical instrument recognition is an important research task in music information retrieval. While many studies have explored the recognition of individual instruments, the field has… (more)

Subjects/Keywords: Music.; Artificial intelligence.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Donnelly, P. J. (2015). Learning spectral filters for single- and multi-label classification of musical instruments. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/12732

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):

Donnelly, Patrick Joseph. “Learning spectral filters for single- and multi-label classification of musical instruments.” 2015. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/12732.

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

MLA Handbook (7th Edition):

Donnelly, Patrick Joseph. “Learning spectral filters for single- and multi-label classification of musical instruments.” 2015. Web. 18 Apr 2019.

Vancouver:

Donnelly PJ. Learning spectral filters for single- and multi-label classification of musical instruments. [Internet] [Thesis]. Montana State University; 2015. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/12732.

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

Council of Science Editors:

Donnelly PJ. Learning spectral filters for single- and multi-label classification of musical instruments. [Thesis]. Montana State University; 2015. Available from: https://scholarworks.montana.edu/xmlui/handle/1/12732

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


Montana State University

3. Tosun, Hasari. Efficient machine learning using partitioned restricted Boltzmann machines.

Degree: College of Engineering, 2016, Montana State University

 Restricted Boltzmann Machines (RBM) are energy-based models that are used as generative learning models as well as crucial components of Deep Belief Networks (DBN). The… (more)

Subjects/Keywords: Machine learning.; Mathematical models.; Stochastic processes.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tosun, H. (2016). Efficient machine learning using partitioned restricted Boltzmann machines. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/14329

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):

Tosun, Hasari. “Efficient machine learning using partitioned restricted Boltzmann machines.” 2016. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/14329.

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

MLA Handbook (7th Edition):

Tosun, Hasari. “Efficient machine learning using partitioned restricted Boltzmann machines.” 2016. Web. 18 Apr 2019.

Vancouver:

Tosun H. Efficient machine learning using partitioned restricted Boltzmann machines. [Internet] [Thesis]. Montana State University; 2016. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/14329.

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

Council of Science Editors:

Tosun H. Efficient machine learning using partitioned restricted Boltzmann machines. [Thesis]. Montana State University; 2016. Available from: https://scholarworks.montana.edu/xmlui/handle/1/14329

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


Montana State University

4. Hamilton, Andrew Johnson. An anytime algorithm for trust propagation in social networks.

Degree: College of Engineering, 2011, Montana State University

 Trust propagation in social networks is a challenging task. It is difficult to model human trust, and the data is huge and very sparse. Due… (more)

Subjects/Keywords: Social networks.; Trust.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hamilton, A. J. (2011). An anytime algorithm for trust propagation in social networks. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/1416

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):

Hamilton, Andrew Johnson. “An anytime algorithm for trust propagation in social networks.” 2011. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/1416.

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

MLA Handbook (7th Edition):

Hamilton, Andrew Johnson. “An anytime algorithm for trust propagation in social networks.” 2011. Web. 18 Apr 2019.

Vancouver:

Hamilton AJ. An anytime algorithm for trust propagation in social networks. [Internet] [Thesis]. Montana State University; 2011. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/1416.

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

Council of Science Editors:

Hamilton AJ. An anytime algorithm for trust propagation in social networks. [Thesis]. Montana State University; 2011. Available from: https://scholarworks.montana.edu/xmlui/handle/1/1416

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


Montana State University

5. Sturlaugson, Liessman Eric. Extensions to modeling and inference in continuous time Bayesian networks.

Degree: College of Engineering, 2014, Montana State University

 The continuous time Bayesian network (CTBN) enables reasoning about complex systems in continuous time by representing a system as a factored, finite-state, continuous-time Markov process.… (more)

Subjects/Keywords: Markov processes.; Computational complexity.; Graphical modeling (Statistics).

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sturlaugson, L. E. (2014). Extensions to modeling and inference in continuous time Bayesian networks. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/9368

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):

Sturlaugson, Liessman Eric. “Extensions to modeling and inference in continuous time Bayesian networks.” 2014. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/9368.

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

MLA Handbook (7th Edition):

Sturlaugson, Liessman Eric. “Extensions to modeling and inference in continuous time Bayesian networks.” 2014. Web. 18 Apr 2019.

Vancouver:

Sturlaugson LE. Extensions to modeling and inference in continuous time Bayesian networks. [Internet] [Thesis]. Montana State University; 2014. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9368.

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

Council of Science Editors:

Sturlaugson LE. Extensions to modeling and inference in continuous time Bayesian networks. [Thesis]. Montana State University; 2014. Available from: https://scholarworks.montana.edu/xmlui/handle/1/9368

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


Montana State University

6. Strasser, Shane Tyler. Factored evolutionary algorithms: cooperative coevolutionary optimization with overlap.

Degree: College of Engineering, 2017, Montana State University

 Factored Evolutionary Algorithms (FEA) define a relatively new class of evolutionary-based optimization algorithms that have been successfully applied to various problems, such as training neural… (more)

Subjects/Keywords: Algorithms.; Neural networks (Computer science).; Mathematical optimization.; Artificial intelligence.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Strasser, S. T. (2017). Factored evolutionary algorithms: cooperative coevolutionary optimization with overlap. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/14899

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):

Strasser, Shane Tyler. “Factored evolutionary algorithms: cooperative coevolutionary optimization with overlap.” 2017. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/14899.

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

MLA Handbook (7th Edition):

Strasser, Shane Tyler. “Factored evolutionary algorithms: cooperative coevolutionary optimization with overlap.” 2017. Web. 18 Apr 2019.

Vancouver:

Strasser ST. Factored evolutionary algorithms: cooperative coevolutionary optimization with overlap. [Internet] [Thesis]. Montana State University; 2017. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/14899.

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

Council of Science Editors:

Strasser ST. Factored evolutionary algorithms: cooperative coevolutionary optimization with overlap. [Thesis]. Montana State University; 2017. Available from: https://scholarworks.montana.edu/xmlui/handle/1/14899

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


Montana State University

7. Perreault, Logan Jared Perreault. On the usability of continuous time bayesian networks: improving scalability and expressiveness.

Degree: College of Engineering, 2017, Montana State University

 The Continuous Time Bayesian Network (CTBN) is a model capable of compactly representing the behavior of discrete state systems that evolve in continuous time. This… (more)

Subjects/Keywords: Graphical modeling (Statistics).; System analysis.; Mathematical optimization.; Motor vehicles.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Perreault, L. J. P. (2017). On the usability of continuous time bayesian networks: improving scalability and expressiveness. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/14912

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):

Perreault, Logan Jared Perreault. “On the usability of continuous time bayesian networks: improving scalability and expressiveness.” 2017. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/14912.

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

MLA Handbook (7th Edition):

Perreault, Logan Jared Perreault. “On the usability of continuous time bayesian networks: improving scalability and expressiveness.” 2017. Web. 18 Apr 2019.

Vancouver:

Perreault LJP. On the usability of continuous time bayesian networks: improving scalability and expressiveness. [Internet] [Thesis]. Montana State University; 2017. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/14912.

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

Council of Science Editors:

Perreault LJP. On the usability of continuous time bayesian networks: improving scalability and expressiveness. [Thesis]. Montana State University; 2017. Available from: https://scholarworks.montana.edu/xmlui/handle/1/14912

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


Montana State University

8. Fortier, Nathan Lee. Inference and learning in Bayesian networks using overlapping swarm intelligence.

Degree: College of Engineering, 2015, Montana State University

 While Bayesian networks provide a useful tool for reasoning under uncertainty, learning the structure of these networks and performing inference over them is NP-Hard. We… (more)

Subjects/Keywords: Artificial intelligence.; Graphical modeling (Statistics).; Algorithms.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fortier, N. L. (2015). Inference and learning in Bayesian networks using overlapping swarm intelligence. (Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/10134

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):

Fortier, Nathan Lee. “Inference and learning in Bayesian networks using overlapping swarm intelligence.” 2015. Thesis, Montana State University. Accessed April 18, 2019. https://scholarworks.montana.edu/xmlui/handle/1/10134.

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

MLA Handbook (7th Edition):

Fortier, Nathan Lee. “Inference and learning in Bayesian networks using overlapping swarm intelligence.” 2015. Web. 18 Apr 2019.

Vancouver:

Fortier NL. Inference and learning in Bayesian networks using overlapping swarm intelligence. [Internet] [Thesis]. Montana State University; 2015. [cited 2019 Apr 18]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/10134.

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

Council of Science Editors:

Fortier NL. Inference and learning in Bayesian networks using overlapping swarm intelligence. [Thesis]. Montana State University; 2015. Available from: https://scholarworks.montana.edu/xmlui/handle/1/10134

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

.