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FSS
2007
102views more  FSS 2007»
15 years 1 months ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...
AMS
2007
Springer
247views Robotics» more  AMS 2007»
15 years 7 months ago
Towards Machine Learning of Motor Skills
Autonomous robots that can adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. Early approaches to this goal du...
Jan Peters, Stefan Schaal, Bernhard Schölkopf
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
15 years 7 months ago
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...
Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
ICALT
2009
IEEE
15 years 8 months ago
Concept Extraction from Student Essays, Towards Concept Map Mining
This paper presents a new approach for automatic concept extraction, using grammatical parsers and Latent Semantic Analysis. The methodology and tool used to build the benchmarkin...
Jorge J. Villalón, Rafael A. Calvo
STACS
1999
Springer
15 years 5 months ago
Costs of General Purpose Learning
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc∗ -identification). His machine, on t...
John Case, Keh-Jiann Chen, Sanjay Jain