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» An Improvement in Sugeno-Yasukawa Modeler
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ICML
2008
IEEE
16 years 7 months ago
The asymptotics of semi-supervised learning in discriminative probabilistic models
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
François Yvon, Nataliya Sokolovska, Olivier...
ICML
2005
IEEE
16 years 7 months ago
Closed-form dual perturb and combine for tree-based models
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Pierre Geurts, Louis Wehenkel
PIMRC
2008
IEEE
16 years 1 months ago
Bayesian inference in linear models with a random Gaussian matrix : Algorithms and complexity
—We consider the Bayesian inference of a random Gaussian vector in a linear model with a random Gaussian matrix. We review two approaches to finding the MAP estimator for this m...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
AIRS
2008
Springer
16 years 1 months ago
Syntactic Parsing with Hierarchical Modeling
Abstract. This paper proposes a hierarchical model to parse both English and Chinese sentences. This is done by iteratively constructing simple constituents first, so that complex...
Junhui Li, Guodong Zhou, Qiaoming Zhu, Peide Qian
ICCTA
2007
IEEE
16 years 29 days ago
Modeling Time-Varying Population for Biometric Authentication
Population size plays a major role in determining the performance of any biometric authentication system, particularly when such systems are used for civilian applications. In thi...
Vandana Roy, C. V. Jawahar