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» Machine-Learning Applications of Algorithmic Randomness
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PPSN
1990
Springer
15 years 5 months 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
162
Voted
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 8 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
15 years 8 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
15 years 3 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...
103
Voted
WWW
2005
ACM
16 years 2 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