This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
In this paper we address the problem of minimization of power consumption in combinational circuits by minimizing the number of switching transitions at the output nodes of each g...
R. V. Menon, S. Chennupati, Naveen K. Samala, Damu...
Automated Theorem Proving (ATP) problems may contain unnecessary axioms, either because some of the axiomatization of the theory is irrelevant to the particular theorem, or becaus...
In this paper, we introduce a novel medium access control (MAC) protocol for Radio Frequency Identification (RFID) systems. This protocol exploits the Markov Chain Model of Slotted...
Features derived from Multi-Layer Perceptrons (MLPs) are becoming increasingly popular for speech recognition. This paper describes various schemes for applying these features to ...
J. Park, Frank Diehl, M. J. F. Gales, Marcus Tomal...