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» Axioms for Sequential Convergence
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AI
1998
Springer
14 years 2 months ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih
ICML
2007
IEEE
14 years 10 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
ESANN
2008
13 years 11 months ago
On related violating pairs for working set selection in SMO algorithms
Sequential Minimal Optimization (SMO) is currently the most popular algorithm to solve large quadratic programs for Support Vector Machine (SVM) training. For many variants of this...
Tobias Glasmachers
PPSN
2010
Springer
13 years 8 months ago
Mirrored Sampling and Sequential Selection for Evolution Strategies
This paper reveals the surprising result that a single-parent non-elitist evolution strategy (ES) can be locally faster than the (1+1)-ES. The result is brought about by mirrored s...
Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk ...
CRV
2005
IEEE
201views Robotics» more  CRV 2005»
14 years 3 months ago
Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
The extraction of optimal features, in a classification sense, is still quite challenging in the context of large-scale classification problems (such as visual recognition), inv...
Gustavo Carneiro, Nuno Vasconcelos