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UNIVERSITY OF MASSACHUSETTS AMHERST
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You are viewing titles for UNIVERSITY OF MASSACHUSETTS AMHERST in the Computer science available through the UMI Dissertations & Thesis Gradwoorks site
Exploiting structure in decentralized Markov decision processes
Sentence level information patterns for novelty detection
On the interaction among self-interested users of network resources
Self-organization in large-scale wireless networks
Scalable cooperative multiagent reinforcement learning in the context of an organization
Improving access to organized information
Inference of network properties from active and passive measurements on wired/wireless networks: A modeling approach
Learning based organizational approaches for peer-to-peer based information retrieval systems
Quantifying and improving the performance of garbage collection
An efficient and privacy-preserving framework for information dissemination among independent entities
Statistical models and analysis techniques for learning in relational data
Resource management for distributed real-time systems
Dynamics of global supply chain and electric power networks: Models, pricing analysis, and computations
Scalable knowledge acquisition through cumulative learning and memory organization
System support for pervasive multimedia systems
Aspects of sentence retrieval
On routing optimization in wired and wireless networks
An embedded high-performance network measurement architecture
Learning and generalizing control-based grasping and manipulation skills
Multi-image reconstruction from aerial images and sequences
Planning and learning for weakly-coupled distributed agents
The smoothed Dirichlet distribution: Understanding cross-entropy ranking in information retrieval
Automating and evaluating assume-guarantee reasoning
SensEye: A multi-tier heterogeneous camera sensor network
Internet routing and its transient behavior
Exploiting structure: A guided approach to sampling-based robot motion planning
Tandem learning: A learning framework for document categorization
Communication management in distributed sensor interpretation
Compiler-assisted hardware-based data prefetching for next generation processors
Monitoring, measurement, and control of multimedia traffic in IP networks
Pachinko allocation: DAG-structured mixture models of topic correlations
Topic models in information retrieval
Software-based permanent fault recovery techniques using inherent hardware redundancy
Routing in mobile DTNs: Performance modeling, network coding benefit, and mobility trace modeling
Beyond bags of words: Effectively modeling dependence and features in information retrieval
Searching question and answer archives
Retrieval performance prediction and document quality
Efficient training methods for conditional random fields
Autocorrelation and regularization of query-based information retrieval scores
Efficient processing of complex features for information retrieval
Data memory subsystem resilient to process variations
Combinatorial Markov Random Fields and their applications to information organization
On joint coding and combinatorial optimization in communication networks
Cluster-based retrieval from a language modeling perspective
Distributed data collection: Archiving, indexing, and analysis
Interactive reformulation of long queries
Unified detection and recognition for reading text in scene images
Minimal infrastructure short range radar networks
Statistical models for text query-based image retrieval
Geometric constraint systems with applications in CAD and biology
Achieving higher dependability through host and NIC processor collaboration
Evaluation of find-similar with simulation and network analysis
Automatic capture and creation of presentations from multimedia lectures
A statistical approach to improving accuracy in classifier ensembles
Scalable techniques for network control and evaluation
Low-cost and robust evaluation of information retrieval systems
Incident threading in news
Algorithms and protocols towards energy-efficiency in wireless networks
Behavioral building blocks for autonomous agents: Description, identification, and learning
Agent interactions in decentralized environments
Structured topic models: Jointly modeling words and their accompanying modalities
Operating system support for modern applications
Improved network consistency and connectivity in mobile and sensor systems
Sensor control and scheduling strategies for sensor networks
Action-based representation discovery in Markov decision processes
Resource management in complex and dynamic environments
Semantic methods for intelligent distributed design environments
Learning the structure of Bayesian networks with constraint satisfaction
Basis construction and utilization for Markov decision processes using graphs
A behavioral approach to human-robot communication
Generalized instruction selector generation: The automatic construction of instruction selectors from descriptions of compiler internal forms and target machines
Paying attention to what matters: Observation abstraction in partially observable environments
Whole-body strategies for mobility and manipulation
Discovery of complex regulatory modules from expression genetics data
On detection, analysis and characterization of transient and parametric failures in nano-scale CMOS VLSI
Increasing scalability in algorithms for centralized and decentralized partially observable Markov decision processes: Efficient decision-making and coordination in uncertain environments
Bounds on service quality for networks subject to augmentation and attack
Enabling accurate analysis of private network data
Using context to enhance the understanding of face images
Data management and wireless transport for large scale sensor networks
System support for perpetual mobile tracking
Problems in generic combinatorial rigidity: Sparsity, sliders, and emergence of components
A geometric framework for transfer learning using manifold alignment
Automated negotiation for complex multi-agent resource allocation
Architecting protocols to enable mobile applications in diverse wireless networks
Improving processes using static analysis techniques
Hardening software against memory errors and attacks
Adaptive balancing of exploitation with exploration to improve protein structure prediction
Autonomous robot skill acquisition
Enabling peer-to-peer swarming for multi-commodity dissemination
Expressiveness and succinctness of first-order logic on finite words
Query-dependent selection of retrieval alternatives
Computational affect detection for education and health
On co-optimization of constrained satisfiability problems for hardware software applications
Variations on stigmergic communication to improve artificial intelligence and biological modeling
Search using social media structures
Interactive perception of articulated objects for autonomous manipulation
Improving data center resource management, deployment, and availability with virtualization
Discovering and using implicit data for information retrieval
Scaling multi-agent learning in complex environments
Acceleration of CFD and data analysis using graphics processors
Topic regression
Weakly supervised learning for unconstrained face processing
Resource-bounded information acquisition and learning
Information retrieval with query hypergraphs
Towards large-scale validation of protein flexibility using rigidity analysis
Retrieval and evaluation techniques for personal information
Variable risk policy search for dynamic robot control
Security issues in network virtualization for the future Internet
Leveraging relational representations for causal discovery
Modeling reformulation as query distributions
On the analysis and management of cache networks
Privacy-aware collaboration among untrusted resource constrained devices
Software techniques to reduce the energy consumption of low-power devices at the limits of digital abstractions
Bridging the gap between autonomous skill learning and task-specific planning