Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Analyzing interactions among peers that interact via messages is a crucial problem due to increasingly distributed nature of current software systems, especially the ones built us...
Web-services are broadly considered as an effective means to achieve interoperability between heterogeneous parties of a business process and offer an open platform for developing...
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
Certain distinctions made in the lexicon of one language may be redundant when translating into another language. We quantify redundancy among source types by the similarity of th...