We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...
Expert systems development is a complex and expensive process that needs to be applied in an organized manner. This paper presents an approach for building a generic treatment mode...
We study the entropy rate of a hidden Markov process (HMP) defined by observing the output of a binary symmetric channel whose input is a first-order binary Markov process. Despit...
Philippe Jacquet, Gadiel Seroussi, Wojciech Szpank...
This paper studies the development of autonomic and secure Virtual Organisations (VOs) when following the chemical-programming paradigm. We have selected the Higher-Order Chemical ...
Linear adaptive filters are often used for Acoustic Echo Cancellation (AEC) but sometimes fail to perform well in notebook computers and inexpensive telephony devices. Low-qualit...
Diego A. Bendersky, Jack W. Stokes, Henrique S. Ma...