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PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
16 years 27 days ago
A Generalization of Forward-Backward Algorithm
Structured prediction has become very important in recent years. A simple but notable class of structured prediction is one for sequences, so-called sequential labeling. For sequen...
Ai Azuma, Yuji Matsumoto
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
16 years 27 days ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
165
Voted
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
16 years 27 days ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
164
Voted
PKDD
2009
Springer
181views Data Mining» more  PKDD 2009»
16 years 27 days ago
Active Learning for Reward Estimation in Inverse Reinforcement Learning
Abstract. Inverse reinforcement learning addresses the general problem of recovering a reward function from samples of a policy provided by an expert/demonstrator. In this paper, w...
Manuel Lopes, Francisco S. Melo, Luis Montesano
PKDD
2009
Springer
150views Data Mining» more  PKDD 2009»
16 years 27 days ago
Omiotis: A Thesaurus-Based Measure of Text Relatedness
In this paper we present a new approach for measuring the relatedness between text segments, based on implicit semantic links between their words, as offered by a word thesaurus, n...
George Tsatsaronis, Iraklis Varlamis, Michalis Vaz...