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CORR
2011
Springer
151views Education» more  CORR 2011»
15 years 1 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
NIPS
2007
15 years 8 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
BMCBI
2008
117views more  BMCBI 2008»
15 years 6 months ago
An iterative block-shifting approach to retention time alignment that preserves the shape and area of gas chromatography-mass sp
Background: Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other fields which rely on high-resolution profiling of complex chemical mixtures generate da...
Minho Chae, Robert J. Shmookler Reis, John J. Thad...
ICMCS
2010
IEEE
152views Multimedia» more  ICMCS 2010»
15 years 7 months ago
Bipolar grouping
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...
Jiang Xu, Junsong Yuan, Ying Wu
IJDMMM
2008
72views more  IJDMMM 2008»
15 years 6 months ago
Mining event histories: a social science perspective
We explore how recent data-mining-based tools developed in domains such as biomedicine or text-mining for extracting interesting knowledge from sequence data could be applied to pe...
Gilbert Ritschard, Alexis Gabadinho, Nicolas S. M&...