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ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 2 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
15 years 25 days 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
15 years 22 days 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
15 years 21 days 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
15 years 17 days 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...