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» Approximate Learning of Dynamic Models
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IJCAI
2007
15 years 6 months ago
Change of Representation for Statistical Relational Learning
Statistical relational learning (SRL) algorithms learn statistical models from relational data, such as that stored in a relational database. We previously introduced view learnin...
Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S...
ICASSP
2008
IEEE
15 years 11 months ago
Discriminative learning for optimizing detection performance in spoken language recognition
We propose novel approaches for optimizing the detection performance in spoken language recognition. Two objective functions are designed to directly relate model parameters to tw...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee
NIPS
2008
15 years 6 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
ESOP
2011
Springer
14 years 8 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
ICCD
2004
IEEE
106views Hardware» more  ICCD 2004»
16 years 1 months ago
Gate Sizing and V{t} Assignment for Active-Mode Leakage Power Reduction
Leakage current is a key factor in IC power consumption even in the active operating mode. We investigate the simultaneous optimization of gate size and threshold voltage to reduc...
Feng Gao, John P. Hayes