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KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 7 months ago
Efficient and effective explanation of change in hierarchical summaries
Dimension attributes in data warehouses are typically hierarchical (e.g., geographic locations in sales data, URLs in Web traffic logs). OLAP tools are used to summarize the measu...
Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos...
IJCNN
2007
IEEE
16 years 1 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
IMC
2004
ACM
16 years 6 days ago
A pragmatic approach to dealing with high-variability in network measurements
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of inferred router-level connectivity, but there still exists considerable debate ...
Walter Willinger, David Alderson, Lun Li
BMCBI
2007
91views more  BMCBI 2007»
15 years 7 months ago
A mass accuracy sensitive probability based scoring algorithm for database searching of tandem mass spectrometry data
Background: Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) has become one of the most used tools in mass spectrometry based proteomics. Various algorithms ...
Hua Xu, Michael A. Freitas
BMCBI
2008
128views more  BMCBI 2008»
15 years 6 months ago
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Christopher Bystroff, Bobbie-Jo M. Webb-Robertson