A Discriminative Approach to Ontology Mapping Michael Wick, Khashayar Rohanimanesh, Andrew McCallum University of Massachusetts 140 Governor’s Drive Amherst, MA

Source URL: people.cs.umass.edu

Mandarin ne as Contrastive Topic* The Case of CT Questions Noah Constant University of Massachusetts, Amherst Draft September 24, 2010

Source URL: people.umass.edu

Non-Intrusive Model Derivation: Automated Modeling of Residential Electrical Loads Srinivasan Iyengar, David Irwin, and Prashant Shenoy University of Massachusetts Amherst ABSTRACT A variety of energy management and anal

Source URL: www.ecs.umass.edu

Query-Aware MCMC Andrew McCallum Department of Computer Science University of Massachusetts Amherst, MA

Source URL: people.cs.umass.edu

Topic Abstraction as the Source for Nested Alternatives A Conservative Semantics for Contrastive Topic Noah Constant University of Massachusetts, Amherst A: Who ate what?

Source URL: people.umass.edu

An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna M. Wallach Department of Computer Science University of Massachusetts Amherst

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Stochastic processes
• Statistical theory
• Probability
• Hierarchical Dirichlet process
• Dirichlet process
• PitmanYor process
• Chinese restaurant process
• Dirichlet distribution
• Mixture model
• Concentration parameter
• Pattern recognition

. . Deriving the Diversity of Contrastive Topic Realizations Noah Constant University of Massachusetts, Amherst

Source URL: people.umass.edu

Network Capabilities of Cloud Services for a Real Time Scientific Application Dilip Kumar Krishnappa, Eric Lyons, David Irwin, and Michael Zink University of Massachusetts Amherst {krishnappa, zink}@ecs.umass.edu {elyons

Source URL: www.ecs.umass.edu

Beyond Energy-Efficiency: Evaluating Green Datacenter Applications for Energy-Agility Supreeth Subramanya, Zain Mustafa, David Irwin, and Prashant Shenoy University of Massachusetts Amherst ABSTRACT

Source URL: www.ecs.umass.edu

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations Aaron Schein University of Massachusetts Amherst Mingyuan Zhou University of Texas at Austin

Source URL: dirichlet.net