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117
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ILP
2005
Springer
15 years 8 months ago
Guiding Inference Through Relational Reinforcement Learning
Abstract. Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Inter...
Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachi...
128
Voted
WILF
2005
Springer
96views Fuzzy Logic» more  WILF 2005»
15 years 8 months ago
Imprecise Temporal Interval Relations
Abstract. When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper we propose a representation for 13 relation...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
123
Voted
AUSAI
2007
Springer
15 years 6 months ago
An Upper Ontology for Event Classifications and Relations
For knowledge representation and reasoning, there is a need to consider the nature of events because event data describe various features and behaviors of the occurrences of action...
Ken Kaneiwa, Michiaki Iwazume, Ken Fukuda
121
Voted
ECAI
2004
Springer
15 years 6 months ago
Bias Windowing for Relational Learning
A central issue in relational learning is the choice of an appropriate bias for limiting first-order induction. The purpose of this study is to circumvent this issue within a unifo...
Frédéric Koriche
117
Voted
ECML
2006
Springer
15 years 6 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.