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WINE
2005
Springer
184views Economy» more  WINE 2005»
14 years 3 months ago
A Comparative Study on Marketing Mix Models for Digital Products
The rise of the Internet and electronic commerce provide a huge marketspace and unique transaction process for digital products. It is significant to discuss whether established m...
Kanliang Wang, Yuan Wang, Jingtao Yao
NIPS
2008
13 years 11 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
BMCBI
2004
114views more  BMCBI 2004»
13 years 10 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
TCSV
2008
195views more  TCSV 2008»
13 years 10 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
CVPR
2006
IEEE
15 years 17 hour ago
Performance Modeling and Prediction of Face Recognition Systems
It is a challenging task to accurately model the performance of a face recognition system, and to predict its individual recognition results under various environments. This paper...
Peng Wang, Qiang Ji