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ISMIS
1999
Springer
13 years 9 months ago
Improving Backtrack Search for SAT by Means of Redundancy
In this paper, a new heuristic that can be grafted to many of the most e cient branching strategies for Davis and Putnam procedures for SAT is described. This heuristic gives a hig...
Laure Brisoux, Éric Grégoire, Lakhda...
ISMIS
1999
Springer
13 years 9 months ago
Learning English Grapheme Segmentation Using the Iterated Version Space Algorithm
Abstract. Our unique approach for learning English grapheme segmentation (LE-GS) rules using the Iterated Version Space Algorithm (IVSA) is presented. After de ning the problem and...
Jianna Jian Zhang, Howard J. Hamilton, Nick Cercon...
ISMIS
1999
Springer
13 years 9 months ago
Applications and Research Problems of Subgroup Mining
Knowledge Discovery in Databases (KDD) is a data analysis process which, in contrast to conventional data analysis, automatically generates and evaluates very many hypotheses, deal...
Willi Klösgen
ISMIS
1999
Springer
13 years 9 months ago
Machine Learning Method for Software Quality Model Building
Software quality prediction can be cast as a concept learning problem. In this paper, we discuss the full cycle of an application of Machine Learning to software quality predictio...
Mauricio Amaral de Almeida, Stan Matwin
ISMIS
1999
Springer
13 years 9 months ago
A Statistical Approach to Rule Selection in Semantic Query Optimisation
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...
Barry G. T. Lowden, Jerome Robinson