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» Large-Scale Data Analysis Using Heuristic Methods
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143
Voted
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 5 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
BMCBI
2008
128views more  BMCBI 2008»
15 years 2 months ago
Validation of an NSP-based (negative selection pattern) gene family identification strategy
Background: Gene family identification from ESTs can be a valuable resource for analysis of genome evolution but presents unique challenges in organisms for which the entire genom...
Ronald L. Frank, Cyriac Kandoth, Fikret Erç...
162
Voted
BMCBI
2002
214views more  BMCBI 2002»
15 years 2 months ago
Automated modelling of signal transduction networks
Background: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ul...
Martin Steffen, Allegra Petti, John Aach, Patrik D...
WWW
2005
ACM
16 years 3 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
ISBI
2007
IEEE
15 years 8 months ago
Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable fourdimension...
Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew ...