In recent years the popularity of music and rhythm-based games has experienced tremendous growth. However almost all of these games require custom hardware to be used as input dev...
Jared N. Bott, James G. Crowley, Joseph J. LaViola...
Traditional pulldown comparators that are used to implement associativeaddressing logic in superscalar microprocessors dissipate energy on a mismatch in any bit position in the co...
Dmitry Ponomarev, Gurhan Kucuk, Oguz Ergin, Kanad ...
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...