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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
COLT
2005
Springer
13 years 10 months ago
From External to Internal Regret
External regret compares the performance of an online algorithm, selecting among N actions, to the performance of the best of those actions in hindsight. Internal regret compares ...
Avrim Blum, Yishay Mansour
ACSAC
2005
IEEE
14 years 2 months ago
Lessons Learned: A Security Analysis of the Internet Chess Club
The Internet Chess Club (ICC) is a popular online chess server with more than 30,000 members worldwide including various celebrities and the best chess players in the world. Altho...
John Black, Martin Cochran, Martin Ryan Gardner
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 18 days ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
ICML
2004
IEEE
14 years 9 months ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer