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» Learning and Generalization with the Information Bottleneck
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ATAL
2007
Springer
15 years 2 months ago
On discovery and learning of models with predictive representations of state for agents with continuous actions and observations
Models of agent-environment interaction that use predictive state representations (PSRs) have mainly focused on the case of discrete observations and actions. The theory of discre...
David Wingate, Satinder P. Singh
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 2 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong
CMOT
2000
94views more  CMOT 2000»
14 years 9 months ago
Performance of Organizational Design Models and Their Impact on Organization Learning
Theperformanceofvariousorganizationalstructuresisanessentialparameterinthereengineeringoforganizations, particularly in the current rapidly changing, competitive and information t...
Aris M. Ouksel, Ronald Vyhmeister
CVPR
2001
IEEE
16 years 10 hour ago
Small Sample Learning during Multimedia Retrieval using BiasMap
All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by ...
Xiang Sean Zhou, Thomas S. Huang
AINA
2009
IEEE
15 years 4 months ago
Learning to Extract Content from News Webpages
We consider the problem of content extraction from online news webpages. To explore to what extent the syntactic markup and the visual structure of a webpage facilitate the extrac...
Alex Spengler, Patrick Gallinari