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You searched for +publisher:"University of New Hampshire" +contributor:("Marek Petrik"). Showing records 1 – 6 of 6 total matches.

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1. Gao, Yixuan. THE BIOECONOMICS OF SHADE-GROWN COFFEE PRODUCTION UNDER CLIMATE AND PRICE RISKS IN PUERTO RICO.

Degree: MS, 2018, University of New Hampshire

  Coffee production is severely affected by global climate change. One of the important impacts comes from the increasing infestation and distribution of coffee berry… (more)

Subjects/Keywords: Bioeconomic models; Coffee agroforestry systems; Coffee berry borer; Ecosystem-based adaptation; Ecosystem services; Puerto Rico; Ecology; Agriculture economics; Environmental economics

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

APA (6th Edition):

Gao, Y. (2018). THE BIOECONOMICS OF SHADE-GROWN COFFEE PRODUCTION UNDER CLIMATE AND PRICE RISKS IN PUERTO RICO. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1218

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):

Gao, Yixuan. “THE BIOECONOMICS OF SHADE-GROWN COFFEE PRODUCTION UNDER CLIMATE AND PRICE RISKS IN PUERTO RICO.” 2018. Thesis, University of New Hampshire. Accessed March 29, 2020. https://scholars.unh.edu/thesis/1218.

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

MLA Handbook (7th Edition):

Gao, Yixuan. “THE BIOECONOMICS OF SHADE-GROWN COFFEE PRODUCTION UNDER CLIMATE AND PRICE RISKS IN PUERTO RICO.” 2018. Web. 29 Mar 2020.

Vancouver:

Gao Y. THE BIOECONOMICS OF SHADE-GROWN COFFEE PRODUCTION UNDER CLIMATE AND PRICE RISKS IN PUERTO RICO. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Mar 29]. Available from: https://scholars.unh.edu/thesis/1218.

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

Council of Science Editors:

Gao Y. THE BIOECONOMICS OF SHADE-GROWN COFFEE PRODUCTION UNDER CLIMATE AND PRICE RISKS IN PUERTO RICO. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1218

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

2. Carpio Mazariegos, Estuardo Rene. Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations.

Degree: MS, 2018, University of New Hampshire

 The presence of robots in society is becoming increasingly common, triggering the need to learn reliable policies to automate human-robot interactions (HRI). Manually developing policies… (more)

Subjects/Keywords: HRI; human-robot interaction; learning from demonstrations; LfD; temporal reasoning

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

APA (6th Edition):

Carpio Mazariegos, E. R. (2018). Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1237

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):

Carpio Mazariegos, Estuardo Rene. “Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations.” 2018. Thesis, University of New Hampshire. Accessed March 29, 2020. https://scholars.unh.edu/thesis/1237.

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

MLA Handbook (7th Edition):

Carpio Mazariegos, Estuardo Rene. “Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations.” 2018. Web. 29 Mar 2020.

Vancouver:

Carpio Mazariegos ER. Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Mar 29]. Available from: https://scholars.unh.edu/thesis/1237.

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

Council of Science Editors:

Carpio Mazariegos ER. Learning Temporal Dynamics of Human-Robot Interactions from Demonstrations. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1237

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

3. 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

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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 March 29, 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. 29 Mar 2020.

Vancouver:

Mitchell AJ. Real-time Planning as Decision-making Under Uncertainty. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Mar 29]. 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

4. Kaspar, Kathryn Elaine. A Protocol for Using Long-Term Structural Health Monitoring Data to Detect and Localize Damage in Bridges.

Degree: MS, 2018, University of New Hampshire

  The purpose of this research is to establish a protocol for using strain gauge data to characterize the undamaged state of a bridge for… (more)

Subjects/Keywords: artificial neural networks; damage detection; linear regression; structural health monitoring

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

APA (6th Edition):

Kaspar, K. E. (2018). A Protocol for Using Long-Term Structural Health Monitoring Data to Detect and Localize Damage in Bridges. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1257

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):

Kaspar, Kathryn Elaine. “A Protocol for Using Long-Term Structural Health Monitoring Data to Detect and Localize Damage in Bridges.” 2018. Thesis, University of New Hampshire. Accessed March 29, 2020. https://scholars.unh.edu/thesis/1257.

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

MLA Handbook (7th Edition):

Kaspar, Kathryn Elaine. “A Protocol for Using Long-Term Structural Health Monitoring Data to Detect and Localize Damage in Bridges.” 2018. Web. 29 Mar 2020.

Vancouver:

Kaspar KE. A Protocol for Using Long-Term Structural Health Monitoring Data to Detect and Localize Damage in Bridges. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2020 Mar 29]. Available from: https://scholars.unh.edu/thesis/1257.

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

Council of Science Editors:

Kaspar KE. A Protocol for Using Long-Term Structural Health Monitoring Data to Detect and Localize Damage in Bridges. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1257

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

5. 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

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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 March 29, 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. 29 Mar 2020.

Vancouver:

Behzadian B. Feature Selection by Singular Value Decomposition for Reinforcement Learning. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2020 Mar 29]. 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

6. Siddique, Talha. Agrobiodiversity For Pest Management: An Integrated Bioeconomic Simulation and Machine Learning Approach.

Degree: MS, 2019, University of New Hampshire

  A pressing challenge of modern agriculture is to develop means of decreasing the negative impacts of pesticides while maintaining low pest pressure and high… (more)

Subjects/Keywords: Agrobiodiversity; Bioeconomic modelling; Machine Learning; Multi-variety orchard; Pest Control; Reinforcement Learning

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

APA (6th Edition):

Siddique, T. (2019). Agrobiodiversity For Pest Management: An Integrated Bioeconomic Simulation and Machine Learning Approach. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1332

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):

Siddique, Talha. “Agrobiodiversity For Pest Management: An Integrated Bioeconomic Simulation and Machine Learning Approach.” 2019. Thesis, University of New Hampshire. Accessed March 29, 2020. https://scholars.unh.edu/thesis/1332.

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

MLA Handbook (7th Edition):

Siddique, Talha. “Agrobiodiversity For Pest Management: An Integrated Bioeconomic Simulation and Machine Learning Approach.” 2019. Web. 29 Mar 2020.

Vancouver:

Siddique T. Agrobiodiversity For Pest Management: An Integrated Bioeconomic Simulation and Machine Learning Approach. [Internet] [Thesis]. University of New Hampshire; 2019. [cited 2020 Mar 29]. Available from: https://scholars.unh.edu/thesis/1332.

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

Council of Science Editors:

Siddique T. Agrobiodiversity For Pest Management: An Integrated Bioeconomic Simulation and Machine Learning Approach. [Thesis]. University of New Hampshire; 2019. Available from: https://scholars.unh.edu/thesis/1332

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

.