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Browsing by Subject Machine Learning
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Showing results 31 to 49 of 49
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Issue Date
Title
Author(s)
2020
Machine learning for multi-scale molecular modeling: theories, algorithms, and applications
Zhang, Linfeng
2020
Methods for Reinforcement Learning in Clinical Decision Support
Prasad, Niranjani
2017
Multi-view Representation Learning with Applications to Functional Neuroimaging Data
Chen, Po-Hsuan
2021
Neural Network Learning: A Multiscale-Entropy and Self-Similarity Approach
Asadi, Amir Reza
2022
Overcoming Sampling and Exploration Challenges in Deep Reinforcement Learning
Simmons-Edler, Riley
2019
Part I: On The Effects of Electron-Deficient Olefins in a Ni Catalyzed Csp3–Csp3 Cross Coupling Part II: Using Machine Learning to Predict Reaction Performance and Infer Mechanism in a Pd Catalyzed C–N Coupling
Estrada, Jesus Gregorio
2021
Physics-Based and Data-Driven Methods for Structural Health Monitoring At Fine Spatial Resolution
Kumar, Vivek
2021
Primal-Dual Method for Reinforcement Learning and Markov Decision Processes
Gong, Hao
2020
Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems
Altosaar, Jaan
2023
Real-time kinetic profile reconstruction and Adaptive ELM Control on the DIII-D and KSTAR Tokamaks
Shousha, Ricardo
2023
Scaling Machine Learning in Practice
Suo, Daniel Can
2018
Second-Order Optimization Methods for Machine Learning
Agarwal, Naman
2019
Statistical Optimization for High Dimensional Machine Learning with Privacy and Sparsity Constraints
Ge, Jason
2016
Technology and Pedagogy: Using Big Data to Enhance Student Learning
Brinton, Christopher Greg
2017
The Application of Optimization Techniques in Machine Learning
Pang, Haotian
2022
The computational tools for whole-brain imaging and the neural dynamics of behaviors in C. elegans
Yu, Xinwei
2020
The Role of Data Geometry in Adversarial Machine Learning
Bhagoji, Arjun Nitin Nitin
2022
Towards Efficient and Effective Deep Model-based Reinforcement Learning
Luo, Yuping
2021
Towards Locally Relevant Global Soil Moisture Monitoring Leveraging Remote Sensing and Modeling for Water Resources Applications
Vergopolan da Rocha, Noemi