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IS
2008
15 years 3 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
ML
1998
ACM
117views Machine Learning» more  ML 1998»
15 years 2 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
ECTEL
2007
Springer
15 years 9 months ago
An Ontology based Web Annotation System to Create New Learning Practices
Web2.0 is a conceptual framework that aims at enhancing the World Wide Web with semantic and social functionnalities. For this framework to fully develop, there is a need for concr...
Christophe Piombo, Hadj Batatia, Pascal Dayre, Ala...
ICPR
2010
IEEE
15 years 1 months ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu
IJAR
2010
130views more  IJAR 2010»
15 years 1 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki