Search Constraints

Start Over
Filtering by: Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Decade 2010-2019 Remove constraint Decade: 2010-2019 Resource Type Dissertation Remove constraint Resource Type: Dissertation Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

Search Results

Interpretable Machine Learning: Applications in Biology and Genomics
Computational Approaches for RNA Structure Prediction with Dynamic Programming and Dee...
Computing Resource Usage as a Factor of Student Success
Conceptual Representations within the Social and Material Contexts of an Engineering W...
Learning with Limited Labeled Data in Natural Language Processing
Representationally Robust and Scalable Learning over Relational Databases
Anomaly Detection: Theory, Explanation and User Feedback
Approximation Schemes in Planar Graphs
Automated decomposition of complex parts for manufacturing with advanced joining proce...
Incorporating User Feedback into Machine Learning Systems
Machine learning methods for public policy : simulation, optimization, and visualization
Adaptive Multiagent Traffic Management for Autonomous Robotic Systems
Reaction Pathways of Oxo-Hydroxo Group 5 Clusters to Metal Oxide Thin Films
Simulator-Defined MDP Planning with Applications in Natural Resource Management
Weakly Supervised Learning for Activity Recognition from Time Series Data
Learning with Partial Supervision for Clustering and Classification
Structured learning with latent variables : theory and algorithms
Monte Carlo Tree Search with Fixed and Adaptive Abstractions
Object Tracking-by-Segmentation in Videos
Parsing with Recurrent Neural Networks
Nonuniform Sampling Of Band-limited Functions
Improving automated email tagging with implicit feedback
Predicting Aerodynamic Loads on Highly Flexible Membrane Wings
Variational Typing and Its Applications
Incorporating and Learning Behavior Constraints for Sequential Decision Making
The density signature
Multiagent learning for locomotion and coordination in tensegrity robotics
New learning modes for sequential decision making
Machine learning for improving the quality of citizen science data
Microstructure of radiation damage in the uranium film and its backing materials irrad...
Bayesian optimization with empirical constraints
Toward computer vision for understanding American football in video
Nanoparticle-assisted diffusion brazing of metal microchannel arrays : nanoparticle sy...
Learning ranking functions for efficient search
Numerical modeling and experiments on wood-strand composites