We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Pronolninalization has been related to tile idea of a local focus - a set of discourse entities in the speaker's centre of attention, for exmnple ill Gundel et al. (1993)...
Many semantical aspects of programming languages are specified through calculi for constructing proofs: consider, for example, the specification of structured operational semantic...
Although good encryption functions are probabilistic, most symbolic models do not capture this aspect explicitly. A typical solution, recently used to prove the soundness of such ...