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» Machine-Learning Applications of Algorithmic Randomness
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BMCBI
2007
147views more  BMCBI 2007»
15 years 1 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
16 years 2 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester
VLSID
2005
IEEE
120views VLSI» more  VLSID 2005»
15 years 7 months ago
On Finding Consecutive Test Vectors in a Random Sequence for Energy-Aware BIST Design
During pseudorandom testing, a significant amount of energy and test application time is wasted for generating and for applying “useless” test vectors that do not contribute t...
Sheng Zhang, Sharad C. Seth, Bhargab B. Bhattachar...
CIKM
2008
Springer
15 years 3 months ago
A random walk on the red carpet: rating movies with user reviews and pagerank
Although PageRank has been designed to estimate the popularity of Web pages, it is a general algorithm that can be applied to the analysis of other graphs other than one of hypert...
Derry Tanti Wijaya, Stéphane Bressan
PAMI
2010
215views more  PAMI 2010»
15 years 4 days ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...