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TSP
2010
12 years 12 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...
INFOCOM
2012
IEEE
11 years 7 months ago
Data gathering in networks of bacteria colonies: Collective sensing and relaying using molecular communication
Abstract—The prospect of new biological and industrial applications that require communication in micro-scale, encourages research on the design of bio-compatible communication n...
Arash Einolghozati, Mohsen Sardari, Ahmad Beirami,...
CVPR
2012
IEEE
11 years 7 months ago
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images
The automatic extraction and labeling of the rib centerlines is a useful yet challenging task in many clinical applications. In this paper, we propose a new approach integrating r...
Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andre...
RECOMB
2004
Springer
14 years 5 months ago
Comparing in situ mRNA expression patterns of drosophila embryos
In situ staining of a target mRNA at several time points during the development of a D. melanogaster embryo gives one a detailed spatio-temporal view of the expression pattern of ...
Hanchuan Peng, Eugene W. Myers
LION
2007
Springer
192views Optimization» more  LION 2007»
13 years 11 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto