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112
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ECML
2007
Springer
15 years 4 months ago
Ordinal Classification with Decision Rules
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
Krzysztof Dembczynski, Wojciech Kotlowski, Roman S...
ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 23 days ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
89
Voted
ICML
2004
IEEE
16 years 1 months ago
Bellman goes relational
Motivated by the interest in relational reinforcement learning, we introduce a novel relational Bellman update operator called ReBel. It employs a constraint logic programming lan...
Kristian Kersting, Martijn Van Otterlo, Luc De Rae...
94
Voted
OTM
2005
Springer
15 years 6 months ago
Taking Advantage of LOM Semantics for Supporting Lesson Authoring
Abstract. Learning Object Metadata (LOM) is an interoperable standard focused on enabling the reuse of learning material for authoring lessons. Nevertheless, few work was done on t...
Olivier Motelet, Nelson A. Baloian
96
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KESAMSTA
2009
Springer
15 years 7 months ago
Relational Learning by Imitation
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
Grazia Bombini, Nicola Di Mauro, Teresa Maria Alto...