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» Feature Construction for Back-Propagation
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ECML
2007
Springer
15 years 3 months ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný
ICPR
2010
IEEE
15 years 27 days ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
ICIP
1997
IEEE
15 years 11 months ago
Higher order local autocorrelation features of PARCOR images for gesture recognition
This paper proposes a feature extraction method for gesture recognition, which is based on higher order local autocorrelation (HLAC) of PARCOR images. To extract dominant informat...
Takio Kurita, Yasuo Kobayashi, Taketoshi Mishima
ICML
2007
IEEE
15 years 10 months ago
Two-view feature generation model for semi-supervised learning
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
Rie Kubota Ando, Tong Zhang
ICSE
2007
IEEE-ACM
15 years 9 months ago
Feature Oriented Model Driven Development: A Case Study for Portlets
Model Driven Development (MDD) is an emerging paradigm for software construction that uses models to specify programs, and model transformations to synthesize executables. Feature...
Don S. Batory, Oscar Díaz, Salvador Trujill...