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ICPR
2000
IEEE
16 years 8 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
WSDM
2010
ACM
227views Data Mining» more  WSDM 2010»
16 years 4 months ago
Folks in folksonomies: Social link prediction from shared metadata
Web 2.0 applications have attracted a considerable amount of attention because their open-ended nature allows users to create lightweight semantic scaffolding to organize and shar...
Rossano Schifanella, Alain Barrat, Ciro Cattuto, B...
WEBI
2007
Springer
16 years 28 days ago
Determining Bias to Search Engines from Robots.txt
Search engines largely rely on robots (i.e., crawlers or spiders) to collect information from the Web. Such crawling activities can be regulated from the server side by deploying ...
Yang Sun, Ziming Zhuang, Isaac G. Councill, C. Lee...
BIBE
2005
IEEE
16 years 13 days ago
Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology
Selecting informative genes from microarray experiments is one of the most important data analysis steps for deciphering biological information imbedded in such experiments. Howev...
Xian Xu, Aidong Zhang
SAC
2005
ACM
16 years 11 days ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...