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» Relevance Vector Machine Analysis of Functional Neuroimages
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TEC
2008
135views more  TEC 2008»
14 years 9 months ago
Evolving Output Codes for Multiclass Problems
In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account...
Nicolás García-Pedrajas, Colin Fyfe
MICCAI
2010
Springer
14 years 8 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 ...
JMLR
2006
131views more  JMLR 2006»
14 years 9 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser
59
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CSE
2009
IEEE
15 years 4 months ago
Predicting Interests of People on Online Social Networks
—We introduce a new data set which contains both a self-declared friendship network and self-chosen attributes from a finite list defined by the social networking site. We prop...
Apoorv Agarwal, Owen Rambow, Nandini Bhardwaj
BMCBI
2008
100views more  BMCBI 2008»
14 years 9 months ago
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...
Guanglan Zhang, Asif M. Khan, Kellathur N. Sriniva...