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NN
2000
Springer
159views Neural Networks» more  NN 2000»
15 years 4 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 5 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
152
Voted
BMCBI
2007
166views more  BMCBI 2007»
15 years 5 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...
131
Voted
BMCBI
2007
173views more  BMCBI 2007»
15 years 5 months ago
CGKB: an annotation knowledge base for cowpea (Vigna unguiculata L.) methylation filtered genomic genespace sequences
Background: Cowpea [Vigna unguiculata (L.) Walp.] is one of the most important food and forage legumes in the semiarid tropics because of its ability to tolerate drought and grow ...
Xianfeng Chen, Thomas W. Laudeman, Paul J. Rushton...
TSP
2008
149views more  TSP 2008»
15 years 4 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...