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JASIS
2000
143views more  JASIS 2000»
13 years 7 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
SLSFS
2005
Springer
14 years 1 months ago
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Amit Gruber, Yair Weiss
EDUTAINMENT
2008
Springer
13 years 9 months ago
Knowledge Discovery by Network Visualization
Hyperlinks among webpages are very important information and are widely used for webpage clustering and webpage ranking. With the explosive growth in the number of webpages availab...
Hong Zhou, Yingcai Wu, Ming-Yuen Chan, Huamin Qu, ...
IJCAI
1997
13 years 9 months ago
An Achievement Test for Knowledge-Based Systems: QUEM
This paper describes QUEM, a method for assessing the skill level of a knowledge-based system based on the quality of the solutions it produces. QUEM is demonstrated by using it t...
Caroline C. Hayes, Michael I. Parzen
SEMCO
2007
IEEE
14 years 2 months ago
Corpus-based Pattern Induction for a Knowledge-based Question Answering Approach
In this paper, we present an approach which, given a knowledge base and an appropriate text corpus, automatically induces patterns which can be used to query the knowledge base. W...
Philipp Cimiano, Michael Erdmann, Günter Ladw...