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You are viewing titles for UNIVERSITY OF CALIFORNIA BERKELEY in the Artificial intelligence available through the UMI Dissertations & Thesis Gradwoorks site
 
Robust reputations for peer-to-peer markets
D-Trigger: A general framework for efficient online detection
 
Predicting protein molecular function
Reinforcement learning in large or unknown MDPs
 
Modeling cloth from examples
Adapting learning techniques for visual recognition
 
Evaluating the security of machine learning algorithms
Sparsity and model selection through convex penalties: Structured selection, covariance selection and some theory
 
Audio segmentation for meetings speech processing
Semi-supervised learning with multiple views
 
Case-based reasoning for MEMS design synthesis
Nonparametric Bayesian models for machine learning
 
Ensemble feature selection for multi-stream automatic speech recognition
Efficient motor control learning
 
Analysis of goal-directed human actions using optimal control models
Simultaneous variable selection and simultaneous subspace selection for multitask learning
 
Structured tracking for safety, security, and privacy: Algorithms for fusing noisy estimates from sensor, robot, and camera networks
Discriminative machine learning with structure
 
An architecture for structured, concurrent, real-time action
Coarse-to-fine natural language processing
 
Accurate real-time reconstruction of distant scenes using computer vision: The recursive Multi-Frame Planar Parallax algorithm
Pattern-Oriented Application Frameworks for Domain Experts to Effectively Utilize Highly Parallel Manycore Microprocessors
 
Behavior of Machine Learning Algorithms in Adversarial Environments
A conflict management model for architectural design collaboration
 
Controlling Small Fixed Wing UAVs to Optimize Image Quality from On-Board Cameras
Towards Automated System Synthesis Using SCIDUCTION
 
Hierarchical Methods for Optimal Long-Term Planning
Search and Tracking of an Unknown Number of Targets by a Team of Autonomous Agents Utilizing Time-evolving Partition Classification
 
Model-based Bayesian Seismic Monitoring
Multivariate pattern analysis of anatomic, physiologic, and metabolic imaging data for improved management of patients with gliomas
 
Learned Human-in-the-Loop Decision Making
Optimal Search Algorithms for Structured Problems in Natural Language Processing
 
Graphs and Combinatorial Representations of Stochastic Processes