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KR
2004
Springer
14 years 4 months ago
Learning Probabilistic Relational Planning Rules
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
IJCV
2000
86views more  IJCV 2000»
13 years 11 months ago
Statistical Learning Theory: A Primer
In this paper we first overview the main concepts of Statistical Learning Theory, a framework in which learning from examples can be studied in a principled way. We then briefly di...
Theodoros Evgeniou, Massimiliano Pontil, Tomaso Po...
MST
2008
141views more  MST 2008»
13 years 11 months ago
From a Zoo to a Zoology: Towards a General Theory of Graph Polynomials
Abstract. We outline a general theory of graph polynomials which covers all the examples we found in the vast literature, in particular, the chromatic polynomial, various generaliz...
Johann A. Makowsky
KSEM
2010
Springer
13 years 9 months ago
Discovery of Relation Axioms from the Web
Given the proven usefulness of ontologies in many areas, the representation of logical axioms associated to ontological concepts and relations has become an important task in order...
Luis Del Vasto Terrientes, Antonio Moreno, David S...
ICTAI
2010
IEEE
13 years 9 months ago
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
Marios Ioannou, George Sakkas, Grigorios Tsoumakas...