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» Perceptual Learning and Abstraction in Machine Learning
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IEEEICCI
2003
IEEE
15 years 3 months ago
Conceptual Framework for Interactive Ontology Building
Abstract— An ontology is a formal language adequately representing the knowledge used for reasoning in a specific environment. When contradictions arise and make ontologies inad...
Jean Sallantin, Jacques Divol, Patrice Duroux
AUSAI
2008
Springer
14 years 11 months ago
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
Eibe Frank, Mark Hall
ECCV
2006
Springer
15 years 11 months ago
Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
Abstract. Automatic delineation of anatomical structures in 3-D volumetric data is a challenging task due to the complexity of the object appearance as well as the quantity of info...
Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Srira...
ICML
1997
IEEE
15 years 10 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
CADE
2004
Springer
15 years 10 months ago
Automatic Generation of Classification Theorems for Finite Algebras
Abstract. Classifying finite algebraic structures has been a major motivation behind much research in pure mathematics. Automated techniques have aided in this process, but this ha...
Simon Colton, Andreas Meier, Volker Sorge, Roy L. ...