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ICPR
2010
IEEE
15 years 7 months ago
Gaussian Process Learning from Order Relationships Using Expectation Propagation
A method for Gaussian process learning of a scalar function from a set of pair-wise order relationships is presented. Expectation propagation is used to obtain an approximation to...
Ruixuan Wang, Stephen James Mckenna
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
16 years 3 months ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
COLT
1992
Springer
15 years 7 months ago
Language Learning from Stochastic Input
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
Shyam Kapur, Gianfranco Bilardi
COOPIS
2004
IEEE
15 years 6 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
ECTEL
2008
Springer
15 years 4 months ago
Measuring Learning Object Reuse
This paper presents a quantitative analysis of the reuse of learning objects in real world settings. The data for this analysis was obtained from three sources: Connexions' mo...
Xavier Ochoa, Erik Duval