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» Modeling durations of syllables using neural networks
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NIPS
2008
15 years 1 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
IJCNN
2007
IEEE
15 years 6 months ago
Neurolinguistic Approach to Vector Representation of Medical Concepts
Abstract—Putative brain processes responsible for understanding language are based on spreading activation in semantic networks, providing enhanced representations that involve c...
Wlodzislaw Duch, Pawel Matykiewicz, John Pestian
MICAI
2007
Springer
15 years 6 months ago
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation
Abstract. In this paper we utilize information theory to study the impact in learning performance of various motivation and environmental configurations. This study is done within...
Tomás Arredondo Vidal, Wolfgang Freund, C&e...
JMLR
2012
13 years 2 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
VLSID
2001
IEEE
184views VLSI» more  VLSID 2001»
16 years 5 days ago
Battery Life Estimation of Mobile Embedded Systems
Since battery life directly impacts the extent and duration of mobility, one of the key considerations in the design of a mobile embedded system should be to maximize the energy d...
Debashis Panigrahi, Sujit Dey, Ramesh R. Rao, Kani...