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» Robust Feature Selection Algorithms
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NAACL
2003
13 years 11 months ago
Weakly Supervised Natural Language Learning Without Redundant Views
We investigate single-view algorithms as an alternative to multi-view algorithms for weakly supervised learning for natural language processing tasks without a natural feature spl...
Vincent Ng, Claire Cardie
CEC
2005
IEEE
14 years 3 months ago
Revisiting genetic selection in the XCS learning classifier system
The XCS Learning Classifier System has traditionally used roulette wheel selection within its genetic algorithm component. Recently, tournament selection has been suggested as prov...
Faten Kharbat, Larry Bull, Mohammed Odeh
ECCV
2004
Springer
14 years 11 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ICANN
2001
Springer
14 years 2 months ago
Feature Extraction Using ICA
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
Nojun Kwak, Chong-Ho Choi, Jin-Young Choi
EKAW
2006
Springer
14 years 1 months ago
Ontology Selection for the Real Semantic Web: How to Cover the Queen's Birthday Dinner?
Robust mechanisms for ontology selection are crucial for the evolving Semantic Web characterized by rapidly increasing numbers of online ontologies and by applications that automat...
Marta Sabou, Vanessa Lopez, Enrico Motta