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» Learning How to Propagate Using Random Probing
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NIPS
2008
13 years 9 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
KBSE
2002
IEEE
14 years 19 days ago
Report on the Workshop on the State of the Art in Automated Software Engineering
ort gives their abstracts. s of the position papers Recent Experiences with Code Generation and Task Automation Agents in Software Tools (J. Grundy, J. Hosking) As software grows i...
Yves Ledru, David F. Redmiles
AAAI
2006
13 years 9 months ago
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change
We present a model for buying agents in e-marketplaces to interpret evaluations of sellers provided by other buying agents, known as advisors. The interpretation of seller evaluat...
Kevin Regan, Pascal Poupart, Robin Cohen
GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
14 years 15 days ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
RAID
2010
Springer
13 years 6 months ago
An Analysis of Rogue AV Campaigns
Abstract. Rogue antivirus software has recently received extensive attention, justified by the diffusion and efficacy of its propagation. We present a longitudinal analysis of th...
Marco Cova, Corrado Leita, Olivier Thonnard, Angel...