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» Feature Selection for Inductive Generalization
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MICCAI
2010
Springer
13 years 6 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
ICAPR
2005
Springer
14 years 1 months ago
Mathematical Features for Recognizing Preference in Sub-saharan African Traditional Rhythm Timelines
The heart of an African rhythm is the timeline, a beat that cyclically repeats thoughout a piece, and is often performed with an iron bell that all performers can hear. Such rhythm...
Godfried T. Toussaint
PAMI
2007
210views more  PAMI 2007»
13 years 7 months ago
Sharing Visual Features for Multiclass and Multiview Object Detection
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
Antonio Torralba, Kevin P. Murphy, William T. Free...
BIBM
2008
IEEE
137views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Exploring Alternative Splicing Features Using Support Vector Machines
Alternative splicing is a mechanism for generating different gene transcripts (called isoforms) from the same genomic sequence. Finding alternative splicing events experimentally ...
Jing Xia, Doina Caragea, Susan Brown
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 26 days ago
Evolving stochastic processes using feature tests and genetic programming
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Brian J. Ross, Janine H. Imada