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» Selectivity Estimation using Probabilistic Models
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IEICET
2007
68views more  IEICET 2007»
14 years 11 months ago
Generalization Error Estimation for Non-linear Learning Methods
Estimating the generalization error is one of the key ingredients of supervised learning since a good generalization error estimator can be used for model selection. An unbiased g...
Masashi Sugiyama
ISIPTA
2005
IEEE
155views Mathematics» more  ISIPTA 2005»
15 years 5 months ago
Estimation of Chaotic Probabilities
A Chaotic Probability model is a usual set of probability measures, M, the totality of which is endowed with an objective, frequentist interpretation as opposed to being viewed as...
Leandro Chaves Rêgo, Terrence L. Fine
CORR
2010
Springer
118views Education» more  CORR 2010»
14 years 11 months ago
Large scale probabilistic available bandwidth estimation
The common utilization-based definition of available bandwidth and many of the existing tools to estimate it suffer from several important weaknesses: i) most tools report a point...
Frederic Thouin, Mark Coates, Michael G. Rabbat
WSCG
2004
212views more  WSCG 2004»
15 years 1 months ago
Face and Hands Segmentation in Color Images and Initial Matching with a Biomechanical Model
In this paper we describe a robust and efficient procedure to detect skin region with homogeneous color values in monocular indoor images. The mathematical background is a functio...
Jose Maria Buades Rubio, Manuel González Hi...
ICMLA
2010
14 years 9 months ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang