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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 10 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
INFOSCALE
2006
ACM
16 years 12 days ago
Evaluation of network impact of content distribution mechanisms
Efficient large-scale content distribution continues to be an important problem, due to the increasing popularity of multimedia content and wide-spread use of peer-to-peer file ...
Shibsankar Das, Jussi Kangasharju
SAC
2003
ACM
15 years 11 months ago
Broadcast Program Generation for Unordered Queries with Data Replication
We study in this paper the problem of broadcasting dependent data for unordered queries. However, most prior studies on dependent data broadcasting are limited to the premise of n...
Jiun-Long Huang, Ming-Syan Chen
BMCBI
2010
143views more  BMCBI 2010»
15 years 6 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
DASFAA
2005
IEEE
141views Database» more  DASFAA 2005»
16 years 1 days ago
Learning Tree Augmented Naive Bayes for Ranking
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su