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» Popular Ensemble Methods: An Empirical Study
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AAAI
2007
13 years 10 months ago
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison
Reinforcement learning (RL) methods have become popular in recent years because of their ability to solve complex tasks with minimal feedback. Both genetic algorithms (GAs) and te...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 8 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
ECOOP
2011
Springer
12 years 7 months ago
An Empirical Study of Object Protocols in the Wild
Abstract. An active area of research in computer science is the prevention of violations of object protocols, i.e., restrictions on temporal orderings of method calls on an object....
Nels E. Beckman, Duri Kim, Jonathan Aldrich
EMNLP
2010
13 years 5 months ago
Combining Unsupervised and Supervised Alignments for MT: An Empirical Study
Word alignment plays a central role in statistical MT (SMT) since almost all SMT systems extract translation rules from word aligned parallel training data. While most SMT systems...
Jinxi Xu, Antti-Veikko I. Rosti
HICSS
2002
IEEE
88views Biometrics» more  HICSS 2002»
14 years 18 days ago
An Empirical Study of the Use Contexts and Usability Problems in Mobile Internet
Mobile Internet, which is a combination of the Internet with mobile devices, has become popular recently. Mobile Internet is primarily different from stationary Internet in that i...
Hoyoung Kim, Jinwoo Kim, Yeonsoo Lee, Minhee Chae,...