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» Learning and Generalization with the Information Bottleneck
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UAI
2008
14 years 11 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
FLAIRS
2006
14 years 11 months ago
Context-based Term Disambiguation in Biomedical Literature
The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
Ping Chen, Hisham Al-Mubaid
ATAL
2010
Springer
14 years 11 months ago
Bootstrapping trust evaluations through stereotypes
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
Chris Burnett, Timothy J. Norman, Katia P. Sycara
CCIA
2009
Springer
14 years 11 months ago
Text Detection in Urban Scenes
Abstract. Text detection in urban scenes is a hard task due to the high variability of text appearance: different text fonts, changes in the point of view, or partial occlusion are...
Sergio Escalera, Xavier Baró, Jordi Vitri&a...
DIS
2008
Springer
14 years 11 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel