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ICPR
2000
IEEE
16 years 1 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
106
Voted
WWW
2007
ACM
16 years 1 months ago
XML design for relational storage
Design principles for XML schemas that eliminate redundancies and avoid update anomalies have been studied recently. Several normal forms, generalizing those for relational databa...
Solmaz Kolahi, Leonid Libkin
104
Voted
RECOMB
2009
Springer
16 years 1 months ago
Shared Peptides in Mass Spectrometry Based Protein Quantification
In analyzing the proteome using mass spectrometry, the mass values help identify the molecules, and the intensities help quantify them, relative to their abundance in other sample...
Banu Dost, Nuno Bandeira, Xiangqian Li, Zhouxin Sh...
109
Voted
CCS
2009
ACM
16 years 1 months ago
PBES: a policy based encryption system with application to data sharing in the power grid
In distributed systems users need the ability to share sensitive content with multiple other recipients based on their ability to satisfy arbitrary policies. One such system is el...
Rakeshbabu Bobba, Himanshu Khurana, Musab AlTurki,...
127
Voted
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 1 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan