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ML
2002
ACM
121views Machine Learning» more  ML 2002»
13 years 7 months ago
Near-Optimal Reinforcement Learning in Polynomial Time
We present new algorithms for reinforcement learning, and prove that they have polynomial bounds on the resources required to achieve near-optimal return in general Markov decisio...
Michael J. Kearns, Satinder P. Singh
COLT
2010
Springer
13 years 6 months ago
Learning to Create is as Hard as Learning to Appreciate
We explore the relationship between a natural notion of unsupervised learning studied by Kearns et al. (STOC '94), which we call here "learning to create" (LTC), an...
David Xiao
IPPS
2010
IEEE
13 years 6 months ago
Dynamic Fractional Resource Scheduling for cluster platforms
We propose a novel approach, called Dynamic Fractional Resource Scheduling (DFRS), to share homogeneous cluster computing platforms among competing jobs. DFRS leverages virtual mac...
Mark Stillwell
TSD
2010
Springer
13 years 6 months ago
Correlation Features and a Linear Transform Specific Reproducing Kernel
Abstract. In this paper we introduce two ideas for phoneme classification: First, we derive the necessary steps to integrate linear transform into the computation of reproducing ke...
Andreas Beschorner, Dietrich Klakow
ICSEA
2009
IEEE
13 years 6 months ago
Integrating Formal Methods with Model-Driven Engineering
In this paper, we present our position and experience on integrating formal methods with the Model-driven Engineering (MDE) approach to software development. Both these two approa...
Angelo Gargantini, Elvinia Riccobene, Patrizia Sca...