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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
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
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
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
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