1062 search results - page 162 / 213 » Sublinear Optimization for Machine Learning |
116
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
119
Voted
JMLR
2008
15 years 2 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
129
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Random Forests (RFs) have become commonplace
in many computer vision applications. Their
popularity is mainly driven by their high computational
efficiency during both training ...
105
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CEC
2007
IEEE
15 years 8 months ago
2007
IEEE
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
118
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ESSMAC
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...