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» Classification of Random Boolean Networks
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FOCS
1990
IEEE
13 years 10 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
WWW
2009
ACM
14 years 6 months ago
Graffiti: node labeling in heterogeneous networks
We introduce a multi-label classification model and algorithm for labeling heterogeneous networks, where nodes belong to different types and different types have different sets of...
Ralitsa Angelova, Gjergji Kasneci, Fabian M. Sucha...
NIPS
2008
13 years 7 months ago
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
Randomized neural networks are immortalized in this well-known AI Koan: In the days when Sussman was a novice, Minsky once came to him as he sat hacking at the PDP-6. "What a...
Ali Rahimi, Benjamin Recht
ICC
2008
IEEE
120views Communications» more  ICC 2008»
14 years 15 days ago
Invariance Property of Isotropic Random Walk Mobility Patterns in Mobile Ad-Hoc Networks
—The class of isotropic random walk mobility models, including Random Direction mobility model, Random Walk mobility model and Brownian motion mobility model, has been widely use...
Han Cai, Chul-Ho Lee, Do Young Eun
BMCBI
2008
179views more  BMCBI 2008»
13 years 6 months ago
Building pathway clusters from Random Forests classification using class votes
Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
Herbert Pang, Hongyu Zhao