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ICMLA
2008
13 years 9 months ago
A Predictive Model for Imitation Learning in Partially Observable Environments
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
Abdeslam Boularias
CVPR
1999
IEEE
14 years 9 months ago
Stochastic Image Segmentation by Typical Cuts
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
Yoram Gdalyahu, Daphna Weinshall, Michael Werman
SIPS
2007
IEEE
14 years 2 months ago
An Area-Efficient FPGA-Based Architecture for Fully-Parallel Stochastic LDPC Decoding
Stochastic decoding is a new alternative method for low complexity decoding of error-correcting codes. This paper presents the first hardware architecture for stochastic decoding...
Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gros...
GLOBECOM
2009
IEEE
13 years 11 months ago
Stochastic Resource Allocation over Fading Multiple Access and Broadcast Channels
In this paper, we consider the optimal rate and power allocation that maximizes a general utility function of average user rates in a fading multiple-access or broadcast channel. B...
Na Gao, Xin Wang
APN
2006
Springer
13 years 11 months ago
A New Approach to the Evaluation of Non Markovian Stochastic Petri Nets
Abstract. In this work, we address the problem of transient and steadystate analysis of a stochastic Petri net which includes non Markovian distributions with a finite support but ...
Serge Haddad, Lynda Mokdad, Patrice Moreaux