The increasingly common practice of replicating datasets and using resources as distributed data stores in Grid environments has led to the problem of determining which replica ca...
Brewer and Kuszmaul [BK94] demonstrated how barriers and traffic interleaving can alleviate the problem of bulk-transfer performance degradation on the Thinking Machines CM-5, by ...
Eric A. Brewer, Paul Gauthier, Armando Fox, Angela...
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Ranking a set retrieval systems according to their retrieval effectiveness without relying on relevance judgments was first explored by Soboroff et al. [13]. Over the years, a numb...
Planning for partially observable, nondeterministic domains is a very signi cant and computationally hard problem. Often, reasonable assumptions can be drawn over expected/nominal...