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ICTAI
2009
IEEE
14 years 2 months ago
Learning for Dynamic Subsumption
This paper presents an original dynamic subsumption technique for Boolean CNF formulae. It exploits simple and sufficient conditions to detect, during conflict analysis, clauses...
Youssef Hamadi, Saïd Jabbour, Lakhdar Sais
ICANN
2007
Springer
14 years 1 months ago
Incremental and Decremental Learning for Linear Support Vector Machines
Abstract. We present a method to find the exact maximal margin hyperplane for linear Support Vector Machines when a new (existing) component is added (removed) to (from) the inner...
Enrique Romero, Ignacio Barrio, Lluís Belan...
CORR
2011
Springer
147views Education» more  CORR 2011»
13 years 2 months ago
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
Ridwan Al Iqbal
CORR
2008
Springer
157views Education» more  CORR 2008»
13 years 7 months ago
The Imaginary Sliding Window As a New Data Structure for Adaptive Algorithms
Abstract.1 The scheme of the sliding window is known in Information Theory, Computer Science, the problem of predicting and in stastistics. Let a source with unknown statistics gen...
Boris Ryabko
BMCBI
2007
173views more  BMCBI 2007»
13 years 7 months ago
Recursive Cluster Elimination (RCE) for classification and feature selection from gene expression data
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
Malik Yousef, Segun Jung, Louise C. Showe, Michael...