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:"University of New Hampshire" +contributor:("Wheeler Ruml"). Showing records 1 – 12 of 12 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Thayer, Jordan Tyler. Heuristic search under time and cost bounds.

Degree: PhD, 2012, University of New Hampshire

  Intelligence is difficult to formally define, but one of its hallmarks is the ability find a solution to a novel problem. Therefore it makes… (more)

Subjects/Keywords: Computer Science; Artificial Intelligence

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Thayer, J. T. (2012). Heuristic search under time and cost bounds. (Doctoral Dissertation). University of New Hampshire. Retrieved from https://scholars.unh.edu/dissertation/662

Chicago Manual of Style (16th Edition):

Thayer, Jordan Tyler. “Heuristic search under time and cost bounds.” 2012. Doctoral Dissertation, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/dissertation/662.

MLA Handbook (7th Edition):

Thayer, Jordan Tyler. “Heuristic search under time and cost bounds.” 2012. Web. 04 Jun 2020.

Vancouver:

Thayer JT. Heuristic search under time and cost bounds. [Internet] [Doctoral dissertation]. University of New Hampshire; 2012. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/dissertation/662.

Council of Science Editors:

Thayer JT. Heuristic search under time and cost bounds. [Doctoral Dissertation]. University of New Hampshire; 2012. Available from: https://scholars.unh.edu/dissertation/662

2. Burns, Ethan. Planning under time pressure.

Degree: PhD, 2013, University of New Hampshire

  Heuristic search is a technique used pervasively in artificial intelligence and automated planning. Often an agent is given a task that it would like… (more)

Subjects/Keywords: Computer Science; Artificial Intelligence; Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Burns, E. (2013). Planning under time pressure. (Doctoral Dissertation). University of New Hampshire. Retrieved from https://scholars.unh.edu/dissertation/725

Chicago Manual of Style (16th Edition):

Burns, Ethan. “Planning under time pressure.” 2013. Doctoral Dissertation, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/dissertation/725.

MLA Handbook (7th Edition):

Burns, Ethan. “Planning under time pressure.” 2013. Web. 04 Jun 2020.

Vancouver:

Burns E. Planning under time pressure. [Internet] [Doctoral dissertation]. University of New Hampshire; 2013. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/dissertation/725.

Council of Science Editors:

Burns E. Planning under time pressure. [Doctoral Dissertation]. University of New Hampshire; 2013. Available from: https://scholars.unh.edu/dissertation/725

3. Dionne, Austin. Heuristic search under a deadline.

Degree: MS, 2011, University of New Hampshire

  In many heuristic search problems of practical interest, insufficient time is available to find a provably optimal solution. The currently accepted methods of finding… (more)

Subjects/Keywords: Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Dionne, A. (2011). Heuristic search under a deadline. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/628

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):

Dionne, Austin. “Heuristic search under a deadline.” 2011. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/628.

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

MLA Handbook (7th Edition):

Dionne, Austin. “Heuristic search under a deadline.” 2011. Web. 04 Jun 2020.

Vancouver:

Dionne A. Heuristic search under a deadline. [Internet] [Thesis]. University of New Hampshire; 2011. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/628.

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

Council of Science Editors:

Dionne A. Heuristic search under a deadline. [Thesis]. University of New Hampshire; 2011. Available from: https://scholars.unh.edu/thesis/628

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

4. Cannon, Jarad. Robot motion planning using real-time heuristic search.

Degree: MS, 2011, University of New Hampshire

  Autonomous mobile robots must be able to plan quickly and stay reactive to the world around them. Currently, navigating in the presence of dynamic… (more)

Subjects/Keywords: Computer Science; Engineering; Robotics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cannon, J. (2011). Robot motion planning using real-time heuristic search. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/676

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):

Cannon, Jarad. “Robot motion planning using real-time heuristic search.” 2011. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/676.

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

MLA Handbook (7th Edition):

Cannon, Jarad. “Robot motion planning using real-time heuristic search.” 2011. Web. 04 Jun 2020.

Vancouver:

Cannon J. Robot motion planning using real-time heuristic search. [Internet] [Thesis]. University of New Hampshire; 2011. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/676.

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

Council of Science Editors:

Cannon J. Robot motion planning using real-time heuristic search. [Thesis]. University of New Hampshire; 2011. Available from: https://scholars.unh.edu/thesis/676

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

5. Rose, Kevin. Real-time sampling-based motion planning with dynamic obstacles.

Degree: MS, 2011, University of New Hampshire

  Autonomous robots are increasingly becoming incorporated in everyday human activities, and this trend does not show any signs of slowing down. One task that… (more)

Subjects/Keywords: Artificial Intelligence; Engineering; Robotics; Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rose, K. (2011). Real-time sampling-based motion planning with dynamic obstacles. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/692

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):

Rose, Kevin. “Real-time sampling-based motion planning with dynamic obstacles.” 2011. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/692.

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

MLA Handbook (7th Edition):

Rose, Kevin. “Real-time sampling-based motion planning with dynamic obstacles.” 2011. Web. 04 Jun 2020.

Vancouver:

Rose K. Real-time sampling-based motion planning with dynamic obstacles. [Internet] [Thesis]. University of New Hampshire; 2011. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/692.

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

Council of Science Editors:

Rose K. Real-time sampling-based motion planning with dynamic obstacles. [Thesis]. University of New Hampshire; 2011. Available from: https://scholars.unh.edu/thesis/692

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

6. Leighton, Michael. Faster optimal and suboptimal hierarchical search.

Degree: MS, 2012, University of New Hampshire

  In problem domains for which an informed admissible heuristic function is not available, one attractive approach is hierarchical search. Hierarchical search uses search in… (more)

Subjects/Keywords: Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Leighton, M. (2012). Faster optimal and suboptimal hierarchical search. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/718

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):

Leighton, Michael. “Faster optimal and suboptimal hierarchical search.” 2012. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/718.

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

MLA Handbook (7th Edition):

Leighton, Michael. “Faster optimal and suboptimal hierarchical search.” 2012. Web. 04 Jun 2020.

Vancouver:

Leighton M. Faster optimal and suboptimal hierarchical search. [Internet] [Thesis]. University of New Hampshire; 2012. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/718.

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

Council of Science Editors:

Leighton M. Faster optimal and suboptimal hierarchical search. [Thesis]. University of New Hampshire; 2012. Available from: https://scholars.unh.edu/thesis/718

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

7. Kreimendahl, Frank. Stacker crane problem state space reduction.

Degree: MS, 2013, University of New Hampshire

  Many resource delivery problems, from delivery vehicle routing to circuit board assembly, can be expressed as stacker-crane problems (SCPs). In SCPs, a single agent… (more)

Subjects/Keywords: Computer Science; Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kreimendahl, F. (2013). Stacker crane problem state space reduction. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/793

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):

Kreimendahl, Frank. “Stacker crane problem state space reduction.” 2013. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/793.

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

MLA Handbook (7th Edition):

Kreimendahl, Frank. “Stacker crane problem state space reduction.” 2013. Web. 04 Jun 2020.

Vancouver:

Kreimendahl F. Stacker crane problem state space reduction. [Internet] [Thesis]. University of New Hampshire; 2013. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/793.

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

Council of Science Editors:

Kreimendahl F. Stacker crane problem state space reduction. [Thesis]. University of New Hampshire; 2013. Available from: https://scholars.unh.edu/thesis/793

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

8. O'Ceallaigh, Dylan Mischa Diamond. Metareasoning in Real-time Heuristic Search.

Degree: MS, 2014, University of New Hampshire

 In real-time heuristic search, a search agent must simultaneously find and execute a solution to a search problem with a strict time bound on the… (more)

Subjects/Keywords: Heuristic Search; Identity Actions; Metareasoning; Real-time; Suboptimality; Uncertainty; Statistics; Computer science; Artificial intelligence

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

O'Ceallaigh, D. M. D. (2014). Metareasoning in Real-time Heuristic Search. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/998

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):

O'Ceallaigh, Dylan Mischa Diamond. “Metareasoning in Real-time Heuristic Search.” 2014. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/998.

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

MLA Handbook (7th Edition):

O'Ceallaigh, Dylan Mischa Diamond. “Metareasoning in Real-time Heuristic Search.” 2014. Web. 04 Jun 2020.

Vancouver:

O'Ceallaigh DMD. Metareasoning in Real-time Heuristic Search. [Internet] [Thesis]. University of New Hampshire; 2014. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/998.

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

Council of Science Editors:

O'Ceallaigh DMD. Metareasoning in Real-time Heuristic Search. [Thesis]. University of New Hampshire; 2014. Available from: https://scholars.unh.edu/thesis/998

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

9. Hebert, Chris. Inferring Types to Eliminate Ownership Checks in an Intentional JavaScript Compiler.

Degree: MS, 2015, University of New Hampshire

 Concurrent programs are notoriously difficult to develop due to the non-deterministic nature of thread scheduling. It is desirable to have a programming language to make… (more)

Subjects/Keywords: compiler; javascript; optimization; Computer science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hebert, C. (2015). Inferring Types to Eliminate Ownership Checks in an Intentional JavaScript Compiler. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1021

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):

Hebert, Chris. “Inferring Types to Eliminate Ownership Checks in an Intentional JavaScript Compiler.” 2015. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/1021.

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

MLA Handbook (7th Edition):

Hebert, Chris. “Inferring Types to Eliminate Ownership Checks in an Intentional JavaScript Compiler.” 2015. Web. 04 Jun 2020.

Vancouver:

Hebert C. Inferring Types to Eliminate Ownership Checks in an Intentional JavaScript Compiler. [Internet] [Thesis]. University of New Hampshire; 2015. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/1021.

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

Council of Science Editors:

Hebert C. Inferring Types to Eliminate Ownership Checks in an Intentional JavaScript Compiler. [Thesis]. University of New Hampshire; 2015. Available from: https://scholars.unh.edu/thesis/1021

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

10. Johnson, Michael Andrew. Extraterrestrial Resource Prospecting Using Particle Swarm Optimization and Conflict Based Search.

Degree: MS, 2016, University of New Hampshire

  Extraterrestrial prospecting missions will be an important first step in preparation of the harvesting and extraction of natural resources in space. Additionally, knowledge from… (more)

Subjects/Keywords: Based; Conflict; Optimization; Particle; Path; Swarm; Robotics; Computer science; Mechanical engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Johnson, M. A. (2016). Extraterrestrial Resource Prospecting Using Particle Swarm Optimization and Conflict Based Search. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1098

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):

Johnson, Michael Andrew. “Extraterrestrial Resource Prospecting Using Particle Swarm Optimization and Conflict Based Search.” 2016. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/1098.

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

MLA Handbook (7th Edition):

Johnson, Michael Andrew. “Extraterrestrial Resource Prospecting Using Particle Swarm Optimization and Conflict Based Search.” 2016. Web. 04 Jun 2020.

Vancouver:

Johnson MA. Extraterrestrial Resource Prospecting Using Particle Swarm Optimization and Conflict Based Search. [Internet] [Thesis]. University of New Hampshire; 2016. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/1098.

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

Council of Science Editors:

Johnson MA. Extraterrestrial Resource Prospecting Using Particle Swarm Optimization and Conflict Based Search. [Thesis]. University of New Hampshire; 2016. Available from: https://scholars.unh.edu/thesis/1098

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

11. Mitchell, Andrew James. Real-time Planning as Decision-making Under Uncertainty.

Degree: MS, 2018, University of New Hampshire

  In real-time planning, an agent must select the next action to take within a fixed time bound. Many popular real-time heuristic search methods approach… (more)

Subjects/Keywords: decision-making; online planning; real-time heuristic search; uncertainty

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mitchell, A. J. (2018). Real-time Planning as Decision-making Under Uncertainty. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1255

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):

Mitchell, Andrew James. “Real-time Planning as Decision-making Under Uncertainty.” 2018. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/1255.

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

MLA Handbook (7th Edition):

Mitchell, Andrew James. “Real-time Planning as Decision-making Under Uncertainty.” 2018. Web. 04 Jun 2020.

Vancouver:

Mitchell AJ. Real-time Planning as Decision-making Under Uncertainty. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/1255.

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

Council of Science Editors:

Mitchell AJ. Real-time Planning as Decision-making Under Uncertainty. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1255

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

12. Behzadian, Bahram. Feature Selection by Singular Value Decomposition for Reinforcement Learning.

Degree: MS, 2019, University of New Hampshire

  Solving reinforcement learning problems using value function approximation requires having good state features, but constructing them manually is often difficult or impossible. We propose… (more)

Subjects/Keywords: Feature Selection; linear value function approximation; Reinforcement Learning; Singular Value Decomposition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Behzadian, B. (2019). Feature Selection by Singular Value Decomposition for Reinforcement Learning. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1267

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):

Behzadian, Bahram. “Feature Selection by Singular Value Decomposition for Reinforcement Learning.” 2019. Thesis, University of New Hampshire. Accessed June 04, 2020. https://scholars.unh.edu/thesis/1267.

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

MLA Handbook (7th Edition):

Behzadian, Bahram. “Feature Selection by Singular Value Decomposition for Reinforcement Learning.” 2019. Web. 04 Jun 2020.

Vancouver:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2020 Jun 04]. Available from: https://scholars.unh.edu/thesis/1267.

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

Council of Science Editors:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Thesis]. University of New Hampshire; 2019. Available from: https://scholars.unh.edu/thesis/1267

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

.