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IJCNN
2006
IEEE
16 years 14 days ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
WWW
2005
ACM
16 years 7 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
ICC
2007
IEEE
146views Communications» more  ICC 2007»
16 years 23 days ago
Correlation Based Rate Adaptation via Insights from Incomplete Observations in 802.11 Networks
—Rate adaptation, as a challenging issue for wireless purpose. Relatively little attention has been paid on identifying network design, has been an active research topic for year...
Xia Zhou, Jun Zhao, Guang-Hua Yang
WWW
2007
ACM
16 years 7 months ago
Detecting near-duplicates for web crawling
Near-duplicate web documents are abundant. Two such documents differ from each other in a very small portion that displays advertisements, for example. Such differences are irrele...
Gurmeet Singh Manku, Arvind Jain, Anish Das Sarma
IWCLS
2007
Springer
16 years 18 days ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull