On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Syndication systems on the Web have attracted vast amounts of attention in recent years. As technologies have emerged and matured, there has been a transition to more expressive s...
Web services -- Web-accessible programs and devices ? are a key application area for the Semantic Web. With the proliferation of Web services and the evolution towards the Semanti...
This paper describes the implementation of a tableau-based reasoning component which is capable of providing quasi natural language explanations for subsumptions within ALEHFR+ TBo...