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KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
BMCBI
2008
144views more  BMCBI 2008»
14 years 9 months ago
Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis
Background: The prediction of conformational B-cell epitopes is one of the most important goals in immunoinformatics. The solution to this problem, even if approximate, would help...
Yanxin Huang, Yongli Bao, Shu Yan Guo, Yan Wang, C...
BMCBI
2008
228views more  BMCBI 2008»
14 years 9 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
ISDA
2009
IEEE
15 years 4 months ago
A 3D Lifting Based Method Augmented by Motion Compensation for Video Coding
This study introduces a spatio–temporal lifting based algorithm to be used in compression of video signals. The temporal correlation of consecutive frames causes temporal redund...
Sedat Telceken, Sukru Gorgulu, Ömer Nezih Ger...
JMLR
2008
230views more  JMLR 2008»
14 years 9 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...