We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...
We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences o...
Georg Heigold, Geoffrey Zweig, Xiao Li, Patrick Ng...
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...
Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consen...
— The multi-tier implementation has become the industry standard for developing scalable client-server enterprise applications. Since these applications are performance sensitive...