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ACMSE
2010
ACM
14 years 4 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
BMCBI
2008
165views more  BMCBI 2008»
14 years 9 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
82
Voted
CVIU
2007
137views more  CVIU 2007»
14 years 9 months ago
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for...
Benjamín Hernández, Gustavo Olague, ...
101
Voted
TC
2008
14 years 9 months ago
DRES: Dynamic Range Encoding Scheme for TCAM Coprocessors
One of the most critical resource management issues in the use of ternary content addressable memory (TCAM) for packet classification/filtering is how to effectively support filte...
Hao Che, Zhijun Wang, Kai Zheng, Bin Liu
97
Voted
ICANN
2005
Springer
15 years 3 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber