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WSC
2004
15 years 6 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
JMLR
2006
89views more  JMLR 2006»
15 years 4 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
142
Voted
ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 4 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
AGENTS
2001
Springer
15 years 9 months ago
Learning structured reactive navigation plans from executing MDP navigation policies
Autonomous robots, such as robot office couriers, need navigation routines that support flexible task execution and effective action planning. This paper describes XFRMLEARN, a s...
Michael Beetz, Thorsten Belker
ECP
1997
Springer
125views Robotics» more  ECP 1997»
15 years 8 months ago
Possibilistic Planning: Representation and Complexity
A possibilistic approach of planning under uncertainty has been developed recently. It applies to problems in which the initial state is partially known and the actions have graded...
Célia da Costa Pereira, Frédé...