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196
Voted
JMLR
2011
192views more  JMLR 2011»
15 years 1 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
VTC
2007
IEEE
132views Communications» more  VTC 2007»
16 years 12 days ago
Collaborative Information Revelation and Collusion in "Word-of-Mouth" Access Selection Schemes
— “Word-of-Mouth”, a novel scheme for sharing the service quality experienced with different local networks, is presented and evaluated as a distributed solution for performi...
Pietro Lungaro
191
Voted
BMCBI
2004
205views more  BMCBI 2004»
15 years 6 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
WWW
2007
ACM
16 years 6 months ago
Demographic prediction based on user's browsing behavior
Demographic information plays an important role in personalized web applications. However, it is usually not easy to obtain this kind of personal data such as age and gender. In t...
Jian Hu, Hua-Jun Zeng, Hua Li, Cheng Niu, Zheng Ch...
159
Voted
ISMB
1996
15 years 7 months ago
Refining Neural Network Predictions for Helical Transmembrane Proteins by Dynamic Programming
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...
Burkhard Rost, Rita Casadio, Piero Fariselli