Margin-maximizing techniques such as boosting have been generating excitement in machine learning circles for several years now. Although these techniques offer significant impro...
Common techniques for curve alignment find a solution in the form of a shortest network path by means of dynamic programming. In this paper we present an approach that employs Set...
Resource discovery is a problem common to almost all distributed systems. Instead of resulting in a one or a small number of discovery mechanisms, completely different and incompa...
We describe the Open Mind Initiative, a framework for large-scale collaborative efforts in building components of "intelligent" systems that address common-sense reasoni...
Approximate string matching is an important paradigm in domains ranging from speech recognition to information retrieval and molecular biology. In this paper, we introduce a new f...