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» Extensions of the Informative Vector Machine
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PAMI
2006
147views more  PAMI 2006»
14 years 9 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
CLASSIFICATION
2004
59views more  CLASSIFICATION 2004»
14 years 9 months ago
Oscillation Heuristics for the Two-group Classification Problem
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
Ognian Asparouhov, Paul A. Rubin
JMLR
2010
123views more  JMLR 2010»
14 years 8 months ago
Maximum Relative Margin and Data-Dependent Regularization
Leading classification methods such as support vector machines (SVMs) and their counterparts achieve strong generalization performance by maximizing the margin of separation betw...
Pannagadatta K. Shivaswamy, Tony Jebara
IPPS
2010
IEEE
14 years 7 months ago
Offline library adaptation using automatically generated heuristics
Automatic tuning has emerged as a solution to provide high-performance libraries for fast changing, increasingly complex computer architectures. We distinguish offline adaptation (...
Frédéric de Mesmay, Yevgen Voronenko...
GLOBECOM
2009
IEEE
14 years 7 months ago
Nonparametric Obstruction Detection for UWB Localization
Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the prese...
Stefano Maranò, Wesley M. Gifford, Henk Wym...