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ECML
2005
Springer
15 years 6 months ago
Towards Finite-Sample Convergence of Direct Reinforcement Learning
Abstract. While direct, model-free reinforcement learning often performs better than model-based approaches in practice, only the latter have yet supported theoretical guarantees f...
Shiau Hong Lim, Gerald DeJong
94
Voted
ICANN
2009
Springer
15 years 5 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
75
Voted
ECML
2006
Springer
15 years 4 months ago
Learning in One-Shot Strategic Form Games
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Alon Altman, Avivit Bercovici-Boden, Moshe Tennenh...
95
Voted
LSO
2004
Springer
15 years 6 months ago
Impreciseness and Its Value from the Perspective of Software Organizations and Learning
When developing large software products many verbal and written interactions take place. In such interactions the use of abstract and uncertain expressions is considered advantageo...
Grigori Melnik, Michael M. Richter
107
Voted
ICWSM
2009
14 years 10 months ago
High-level Features for Learning Subjective Language across Domains
In this paper, we propose to study the characteristics for analyzing subjective content in documents. For that purpose, we present and evaluate a novel method based on abstraction...
Gaël Dias, Dinko Dimchev Lambov, Veska Nonche...