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163
Voted
ATAL
2005
Springer
15 years 9 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
130
Voted
GECCO
2008
Springer
15 years 4 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
142
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
146
Voted
CIKM
2011
Springer
14 years 3 months ago
2011
Springer
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
183
Voted
SIGIR
2012
ACM
13 years 6 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...