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PERCOM
2007
ACM
14 years 7 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
GECCO
2009
Springer
101views Optimization» more  GECCO 2009»
14 years 2 months ago
Modeling UCS as a mixture of experts
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
Narayanan Unny Edakunni, Tim Kovacs, Gavin Brown, ...
IDA
2009
Springer
14 years 2 months ago
Estimating Squared-Loss Mutual Information for Independent Component Analysis
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Taiji Suzuki, Masashi Sugiyama
SAGT
2009
Springer
108views Game Theory» more  SAGT 2009»
14 years 2 months ago
On the Planner's Loss Due to Lack of Information in Bayesian Mechanism Design
In this paper we study a large class of resource allocation problems with an important complication, the utilization cost of a given resource is private information of a profit ma...
José R. Correa, Nicolas Figueroa
CEC
2008
IEEE
14 years 2 months ago
Generating massive high-quality random numbers using GPU
— Pseudo-random number generators (PRNG) have been intensively used in many stochastic algorithms in artificial intelligence, computer graphics and other scientific computing. ...
Wai-Man Pang, Tien-Tsin Wong, Pheng-Ann Heng