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» An ICA algorithm for analyzing multiple data sets
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FLAIRS
2004
13 years 9 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
ESWA
2006
165views more  ESWA 2006»
13 years 8 months ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer
NECO
2007
95views more  NECO 2007»
13 years 7 months ago
Support Vector Ordinal Regression
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
Wei Chu, S. Sathiya Keerthi
WEBNET
2000
13 years 9 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
EMNLP
2010
13 years 6 months ago
Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...
Tom Kwiatkowksi, Luke S. Zettlemoyer, Sharon Goldw...