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Neural Computation
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February 28, 2012
A proof of convergence of the concave-convex procedure using Zangwill's theory
Bharath K Sriperumbudur, Gert R G Lanckriet
Addictive Behaviors
|
August 29, 2016
Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning
Janani Kalyanam, Takeo Katsuki, Gert R G Lanckriet, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
May 18, 2013
Clustering dynamic textures with the hierarchical em algorithm for modeling video
Adeel Mumtaz, Emanuele Coviello, Gert R G Lanckriet, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
A Scalable and Accurate Descriptor for Dynamic Textures Using Bag of System Trees
Adeel Mumtaz, Emanuele Coviello, Gert R G Lanckriet, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
March 3, 2004
Kernel-based data fusion and its application to protein function prediction in yeast
G R G Lanckriet, M Deng, N Cristianini, et al.
Bioinformatics (Oxford, England)
|
May 8, 2004
A statistical framework for genomic data fusion
Gert R G Lanckriet, Tijl De Bie, Nello Cristianini, et al.
Neural Computation
|
April 26, 2002
Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis
T Van Gestel, J A K Suykens, G Lanckriet, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
January 25, 2014
On the role of correlation and abstraction in cross-modal multimedia retrieval
Jose Costa Pereira, Emanuele Coviello, Gabriel Doyle, et al.
Kidney International
|
December 24, 2005
A novel approach for accurate prediction of spontaneous passage of ureteral stones: support vector machines
F Dal Moro, A Abate, G R G Lanckriet, et al.
IEEE Transactions on Neural Networks
|
February 6, 2008
Financial time series prediction using least squares support vector machines within the evidence framework
T Van Gestel, J K Suykens, D E Baestaens, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Neural Computation
|
February 28, 2012
A proof of convergence of the concave-convex procedure using Zangwill's theory
Bharath K Sriperumbudur, Gert R G Lanckriet
Addictive Behaviors
|
August 29, 2016
Exploring trends of nonmedical use of prescription drugs and polydrug abuse in the Twittersphere using unsupervised machine learning
Janani Kalyanam, Takeo Katsuki, Gert R G Lanckriet, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
May 18, 2013
Clustering dynamic textures with the hierarchical em algorithm for modeling video
Adeel Mumtaz, Emanuele Coviello, Gert R G Lanckriet, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
A Scalable and Accurate Descriptor for Dynamic Textures Using Bag of System Trees
Adeel Mumtaz, Emanuele Coviello, Gert R G Lanckriet, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|
March 3, 2004
Kernel-based data fusion and its application to protein function prediction in yeast
G R G Lanckriet, M Deng, N Cristianini, et al.
Bioinformatics (Oxford, England)
|
May 8, 2004
A statistical framework for genomic data fusion
Gert R G Lanckriet, Tijl De Bie, Nello Cristianini, et al.
Neural Computation
|
April 26, 2002
Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis
T Van Gestel, J A K Suykens, G Lanckriet, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
January 25, 2014
On the role of correlation and abstraction in cross-modal multimedia retrieval
Jose Costa Pereira, Emanuele Coviello, Gabriel Doyle, et al.
Kidney International
|
December 24, 2005
A novel approach for accurate prediction of spontaneous passage of ureteral stones: support vector machines
F Dal Moro, A Abate, G R G Lanckriet, et al.
IEEE Transactions on Neural Networks
|
February 6, 2008
Financial time series prediction using least squares support vector machines within the evidence framework
T Van Gestel, J K Suykens, D E Baestaens, et al.
Page
of 2