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» Machine-Learning Applications of Algorithmic Randomness
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ICML
2009
IEEE
14 years 8 months ago
Polyhedral outer approximations with application to natural language parsing
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
André F. T. Martins, Noah A. Smith, Eric P....
EWRL
2008
13 years 9 months ago
Regularized Fitted Q-Iteration: Application to Planning
We consider planning in a Markovian decision problem, i.e., the problem of finding a good policy given access to a generative model of the environment. We propose to use fitted Q-i...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
ALT
2008
Springer
14 years 4 months ago
Online Regret Bounds for Markov Decision Processes with Deterministic Transitions
Abstract. We consider an upper confidence bound algorithm for Markov decision processes (MDPs) with deterministic transitions. For this algorithm we derive upper bounds on the onl...
Ronald Ortner
HCI
2007
13 years 9 months ago
GART: The Gesture and Activity Recognition Toolkit
The Gesture and Activity Recognition Toolit (GART) is a user interface toolkit designed to enable the development of gestureplications. GART provides an abstraction to machine lear...
Kent Lyons, Helene Brashear, Tracy L. Westeyn, Jun...
COLT
2007
Springer
14 years 2 months ago
Strategies for Prediction Under Imperfect Monitoring
Abstract. We propose simple randomized strategies for sequential prediction under imperfect monitoring, that is, when the forecaster does not have access to the past outcomes but r...
Gábor Lugosi, Shie Mannor, Gilles Stoltz