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» Learning with Kernels and Logical Representations
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93
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GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 6 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
100
Voted
IDEAL
2005
Springer
15 years 6 months ago
Generating Predicate Rules from Neural Networks
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...
Richi Nayak
ICDAR
1997
IEEE
15 years 4 months ago
Modeling Documents for Structure Recognition Using Generalized N-Grams
In this paper we present and discuss a novel approach to modeling logical structures of documents, based on a statistical representation of patterns in a document class. An effic...
Rolf Brugger, Abdel Wahab Zramdini, Rolf Ingold
113
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CVPR
2011
IEEE
14 years 8 months ago
Sharing Features Between Objects and Their Attributes
Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
Sung Ju Hwang, Fei Sha, Kristen Grauman
NIPS
2004
15 years 1 months ago
Object Classification from a Single Example Utilizing Class Relevance Metrics
We describe a framework for learning an object classifier from a single example. This goal is achieved by emphasizing the relevant dimensions for classification using available ex...
Michael Fink 0002