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» Statistical Approach to Networks-on-Chip
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IPSN
2003
Springer
15 years 9 months ago
Hypothesis Testing over Factorizations for Data Association
Abstract. The issue of data association arises frequently in sensor networks; whenever multiple sensors and sources are present, it may be necessary to determine which observations...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
HT
2010
ACM
15 years 9 months ago
Conversational tagging in twitter
Users on Twitter, a microblogging service, started the phenomenon of adding tags to their messages sometime around February 2008. These tags are distinct from those in other Web 2...
Jeff Huang, Katherine M. Thornton, Efthimis N. Eft...
135
Voted
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
15 years 9 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
HICSS
2002
IEEE
132views Biometrics» more  HICSS 2002»
15 years 9 months ago
Modeling Current Events
Enormous amounts of information are produced every day, all over the world. but very little of it is true. In this paper, we describe the modeling component of a current events an...
Christopher Landauer, Kirstie L. Bellman
ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 9 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong