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SIGIR
2003
ACM
14 years 1 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
BMCBI
2007
166views more  BMCBI 2007»
13 years 8 months ago
Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomics
Background: In proteomic analysis, MS/MS spectra acquired by mass spectrometer are assigned to peptides by database searching algorithms such as SEQUEST. The assignations of pepti...
Xinning Jiang, Xiaogang Jiang, Guanghui Han, Mingl...
EDBT
2009
ACM
133views Database» more  EDBT 2009»
14 years 14 days ago
Schema-conscious filtering of XML documents
In a publish-subscribe system based on filtering of XML documents, subscribers specify their interests with profiles expressed in the XPath language. The system processes a stre...
Panu Silvasti, Seppo Sippu, Eljas Soisalon-Soinine...
LCN
1999
IEEE
14 years 3 days ago
Time Series Models for Internet Data Traffic
A statistical analysis of Internet traffic measurements from a campus site is carried out to examine the influence of the constituent protocols and applications on the characteris...
Chun You, Kavitha Chandra
AROBOTS
2011
13 years 2 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox