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COLT
2008
Springer
15 years 8 months ago
How Local Should a Learning Method Be?
We consider the question of why modern machine learning methods like support vector machines outperform earlier nonparametric techniques like kNN. Our approach investigates the lo...
Alon Zakai, Yaacov Ritov
ICIP
2007
IEEE
16 years 8 months ago
Kernels on Bags of Fuzzy Regions for Fast Object retrieval
We propose in this paper a general kernel framework to deal with database object retrieval embedded in images with heterogeneous background. We use local features computed on fuzz...
Philippe Henri Gosselin, Matthieu Cord, Sylvie Phi...
ICANNGA
2007
Springer
161views Algorithms» more  ICANNGA 2007»
15 years 10 months ago
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
Abstract. In the paper, a new method of decision tree learning for costsensitive classification is presented. In contrast to the traditional greedy top-down inducer in the proposed...
Marek Kretowski, Marek Grzes
AAAI
2004
15 years 8 months ago
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
Franz Pernkopf
EACL
2006
ACL Anthology
15 years 8 months ago
Edit Machines for Robust Multimodal Language Processing
Multimodal grammars provide an expressive formalism for multimodal integration and understanding. However, handcrafted multimodal grammars can be brittle with respect to unexpecte...
Srinivas Bangalore, Michael Johnston