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NN
2006
Springer
127views Neural Networks» more  NN 2006»
13 years 8 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
CCS
2008
ACM
13 years 10 months ago
The risk-utility tradeoff for IP address truncation
Network operators are reluctant to share traffic data due to security and privacy concerns. Consequently, there is a lack of publicly available traces for validating and generaliz...
Martin Burkhart, Daniela Brauckhoff, Martin May, E...
SIBGRAPI
2005
IEEE
14 years 2 months ago
A Maximum-Likelihood Approach for Multiresolution W-Operator Design
The design of W-operators from a set of input/output examples for large windows is a hard problem. From the statistical standpoint, it is hard because of the large number of examp...
Daniel André Vaquero, Junior Barrera, Rober...
DCC
2008
IEEE
14 years 8 months ago
The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure
This paper presents a proof of the rate distortion function of a Poisson process with a queuing distortion measure that is in complete analogy with the proofs associated with the ...
Todd P. Coleman, Negar Kiyavash, Vijay G. Subraman...
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 3 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana