1062 search results - page 162 / 213 » Sublinear Optimization for Machine Learning |
ICML
2010
IEEE
13 years 10 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...
JMLR
2008
13 years 9 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...
ICCV
2009
IEEE
15 years 2 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 ...
CEC
2007
IEEE
14 years 3 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...
ESSMAC
2003
Springer
14 years 2 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...