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You are viewing titles for UNIVERSITY OF MASSACHUSETTS AMHERST in the Artificial intelligence available through the UMI Dissertations & Thesis Gradwoorks site
 
Exploiting structure in decentralized Markov decision processes
Pachinko allocation: DAG-structured mixture models of topic correlations
 
Combinatorial Markov Random Fields and their applications to information organization
 Unified detection and recognition for reading text in scene images
 
A statistical approach to improving accuracy in classifier ensembles
 Behavioral building blocks for autonomous agents: Description, identification, and learning
 
Agent interactions in decentralized environments
 The development of hierarchical knowledge in robot systems
 
Basis construction and utilization for Markov decision processes using graphs
 Paying attention to what matters: Observation abstraction in partially observable environments
 
Increasing scalability in algorithms for centralized and decentralized partially observable Markov decision processes: Efficient decision-making and coordination in uncertain environments
 Optimization-based approximate dynamic programming
 
Autonomous robot skill acquisition
 The Parameter Signature Isolation Method and Applications
 
Exploiting structure in coordinating multiple decision makers
Interactive perception of articulated objects for autonomous manipulation
 
Weakly supervised learning for unconstrained face processing
 Variable risk policy search for dynamic robot control