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ICASSP
2011
IEEE
14 years 10 months ago
Optimal and low-complexity iterative joint network/channel decoding for the multiple-access relay channel
In this paper, we investigate joint network and channel decoding algorithms for the multiple-access relay channel. We consider a realistic reference scenario with Rayleigh fading ...
Xuan-Thang Vu, Marco Di Renzo, Pierre Duhamel
ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 2 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
AAAI
2012
13 years 9 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
MICCAI
2003
Springer
16 years 7 months ago
An Artificially Evolved Vision System for Segmenting Skin Lesion Images
Abstract. We present a novel technique where a medical image segmentation system is evolved using genetic programming. The evolved system was trained on just 8 images outlined by a...
Mark E. Roberts, Ela Claridge
ICCSA
2010
Springer
16 years 1 months ago
String Matching with Mismatches by Real-Valued FFT
String matching with mismatches is a basic concept of information retrieval with some kinds of approximation. This paper proposes an FFT-based algorithm for the problem of string ...
Kensuke Baba