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» Machine-Learning Applications of Algorithmic Randomness
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PPSN
1990
Springer
14 years 8 days ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
EUROPAR
2009
Springer
14 years 2 months ago
Uniform Sampling for Directed P2P Networks
Selecting a random peer with uniform probability across a peer-to-peer (P2P) network is a fundamental function for unstructured search, data replication, and monitoring algorithms....
Cyrus P. Hall, Antonio Carzaniga
AAAI
2008
13 years 10 months ago
ARMOR Security for Los Angeles International Airport
Security at major locations of economic or political importance is a key concern around the world, particularly given the threat of terrorism. Limited security resources prevent f...
James Pita, Manish Jain, Fernando Ordó&ntil...
WWW
2005
ACM
14 years 9 months ago
BackRank: an alternative for PageRank?
This paper proposes to extend a previous work, The Effect of the Back Button in a Random Walk: Application for PageRank [5]. We introduce an enhanced version of the PageRank algor...
Mohamed Bouklit, Fabien Mathieu