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Filtering by: Subject Investments -- Mathematical models Advisor Dietterich, Thomas G. Decade 2010-2019

Creating, Understanding and Applying Machine Learning Models of Multiple Species

Creator:

Griffioen, Arwen Twinkle E.

Abstract:

Many problems in ecology and conservation biology can be formulated and solved using machine learning algorithms for multi-label classification. This dissertation addresses three topics related to predicting the distributions of multiple species. It improves existing methods and proposes a new modeling paradigm to address the multi-species, multi-label problem. The first...

Resource Type:

Dissertation

Full Text:

outcome. To develop better methods, individual and joint model tuning approaches and evaluation metrics
Simulator-Defined MDP Planning with Applications in Natural Resource Management

Creator:

Alkaee Taleghan, Majid

Abstract:

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 is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...

Resource Type:

Dissertation

Full Text:

Sample-Efficient MDP Planning . . . . . . . . . . . . . . . . 13 2.5 Improved Model-Based MDP Planning
Machine Learning Methods for Computational Sustainability

Creator:

Liu, Liping

Abstract:

Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...

Resource Type:

Dissertation

Full Text:

classification model for the learning problem. The thesis also analyzes the learnability of the superset label