Recently, there has been an emphasis on creating shared resources for natural language processing applications. This has resulted in the development of high-quality tools and data...
We describe a fast algorithm for kernel discriminant analysis, empirically demonstrating asymptotic speed-up over the previous best approach. We achieve this with a new pattern of...
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
The peer-to-peer (P2P) paradigm has emerged recently, mainly by file sharing systems like Napster or Gnutella and in terms of scalable distributed data structures. Because of the d...
Grid technologies and infrastructures facilitate distributed resource sharing and coordination in dynamic, heterogeneous, multi-institutional environments. A replica catalog is a ...