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» Intrinsically Motivated Machines
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ICML
2003
IEEE
15 years 11 months ago
The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
Adam Laud, Gerald DeJong
COLT
2003
Springer
15 years 11 months ago
Maximum Margin Algorithms with Boolean Kernels
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Roni Khardon, Rocco A. Servedio
ICPP
2002
IEEE
15 years 10 months ago
Linux/SimOS - A Simulation Environment for Evaluating High-Speed Communication Systems
This paper presents Linux/SimOS, a Linux operating system port to SimOS, which is a complete machine simulator from Stanford. The motivation for Linux/SimOS is to alleviate the li...
Chulho Won, Ben Lee, Chansu Yu, Sangman Moh, Yong-...
COLT
2000
Springer
15 years 10 months ago
Entropy Numbers of Linear Function Classes
This paper collects together a miscellany of results originally motivated by the analysis of the generalization performance of the “maximum-margin” algorithm due to Vapnik and...
Robert C. Williamson, Alex J. Smola, Bernhard Sch&...
SIGIR
1999
ACM
15 years 10 months ago
Information Retrieval as Statistical Translation
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Adam L. Berger, John D. Lafferty