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RSFDGRC
1999
Springer
135views Data Mining» more  RSFDGRC 1999»
13 years 9 months ago
The Iterated Version Space Learning
Inspired with Version Space learning, the Iterated Version Space Algorithm (IVSA) has been designed and implemented to learn disjunctive concepts. IVSA dynamically partitions its s...
Jianna Jian Zhang, Nick Cercone
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...
ICML
2000
IEEE
14 years 6 months ago
Version Space Algebra and its Application to Programming by Demonstration
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Tessa A. Lau, Pedro Domingos, Daniel S. Weld
SIAMCO
2008
72views more  SIAMCO 2008»
13 years 5 months ago
Mesh Independence of Kleinman--Newton Iterations for Riccati Equations in Hilbert Space
In this paper we consider the convergence of the infinite dimensional version of the Kleinman
John A. Burns, Ekkehard W. Sachs, Lizette Zietsman
MIR
2004
ACM
171views Multimedia» more  MIR 2004»
13 years 10 months ago
Mean version space: a new active learning method for content-based image retrieval
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
Jingrui He, Hanghang Tong, Mingjing Li, HongJiang ...