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Browsing by Subject Machine Learning
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Showing results 1 to 20 of 29
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Issue Date
Title
Author(s)
2016
Advances in Fault Diagnosis Automation for Silicon Prototypes
Zhu, Charlie Shucheng
2012
Alignment and Supervised Learning with Functional Neuroimaging Data
Lorbert, Alexander
2021
Bayesian Modeling of Single Cell Expression
Verma, Archit
2017
Black Box Variational Inference: Scalable, Generic Bayesian Computation and its Applications
Ranganath, Rajesh
2016
Computational Methods for Exploring Human Behavior
Chaney, Allison June Barlow
2013
Design of Energy-efficient Sensing Systems with Direct Computations on Compressively-sensed Data
Shoaib, Mohammed
2011
Deterministic Compressed Sensing
Jafarpour, Sina
2021
Essays on Granularity and Machine Learning in Macroeconomics
Vogler, Maximilian
2021
Essays on Machine Learning Methods and Household Dynamics
Sorg-Langhans, George Leopold
2016
Extracting Cognition out of Images for the Purpose of Autonomous Driving
Chen, Chenyi
2020
HARDWARE ACCELERATION TO ADDRESS THE COSTS OF DATA MOVEMENT
Valavi, Hossein
2017
Integrating Exponential Dispersion Models to Latent Structures
Basbug, Mehmet Emin
2021
Investigation of Biological Systems at Low Temperatures using Molecular Simulation
Kozuch, Daniel Jeffrey
2019
Learning to Learn Optimally: A Practical Framework for Machine Learning Applications with Finite Time Horizon
Lee, Donghun
2019
Learning Visual Affordances for Robotic Manipulation
Zeng, Andy
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