Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like all structured prediction learning frameworks, the ...
Convergence is often the key liveness property for distributed systems that interact with physical processes. Techniques for proving convergence (asymptotic stability) have been ex...
While automatic methods for phonetic segmentation of speech can help with rapid annotation of corpora, most methods rely either on manually segmented data to initially train the p...
—Mashup tools are becoming increasingly important enabling users to compose services and processes on the Web. Most existing tools focus on Web-based interfaces, usability, and v...
The Knowledge Base Management Systems (KBMS) Project at the University of Toronto (1985-1995) was inspired by a need for advanced knowledge representation applications that require...
Vinay K. Chaudhri, Igor Jurisica, Manolis Koubarak...