In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Breakpoints are perhaps the quintessential feature of a debugger: they allow a developer to stop time and study the program state. Breakpoints are typically specified by selectin...
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...
Context information is one of the most important data coming from mobile devices to add a value for the application execution. This paper introduces a context dissemination middle...
Guido Gehlen, Fahad Aijaz, Muhammad Sajjad, Bernha...
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...