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Bioinformatics (Oxford, England)
|
March 21, 2006
A machine learning information retrieval approach to protein fold recognition
Jianlin Cheng, Pierre Baldi
BMC Bioinformatics
|
April 5, 2007
Improved residue contact prediction using support vector machines and a large feature set
Jianlin Cheng, Pierre Baldi
Neural Networks : the Official Journal of the International Neural Network Society
|
September 2, 2016
A theory of local learning, the learning channel, and the optimality of backpropagation
Pierre Baldi, Peter Sadowski
Neural Computation
|
June 7, 2019
Temporal Evolution of Generalization during Learning in Linear Networks
Pierre Baldi, Yves Chauvin
Neural Networks : the Official Journal of the International Neural Network Society
|
May 25, 2019
The capacity of feedforward neural networks
Pierre Baldi, Roman Vershynin
Neural Networks : the Official Journal of the International Neural Network Society
|
October 5, 2021
A theory of capacity and sparse neural encoding
Pierre Baldi, Roman Vershynin
Neural Computation
|
June 7, 2019
Contrastive Learning and Neural Oscillations
Pierre Baldi, Fernando Pineda
BMC Structural Biology
|
December 6, 2008
SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERs
Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
April 25, 2013
A unifying kinetic framework for modeling oxidoreductase-catalyzed reactions
Ivan Chang, Pierre Baldi
Artificial Intelligence
|
April 29, 2014
The Dropout Learning Algorithm
Pierre Baldi, Peter Sadowski
Page
of 26
Search research articles
Search
Showing results (11-20 of 260) with videos related to
Sort By:
Page
of 26
Bioinformatics (Oxford, England)
|
March 21, 2006
A machine learning information retrieval approach to protein fold recognition
Jianlin Cheng, Pierre Baldi
BMC Bioinformatics
|
April 5, 2007
Improved residue contact prediction using support vector machines and a large feature set
Jianlin Cheng, Pierre Baldi
Neural Networks : the Official Journal of the International Neural Network Society
|
September 2, 2016
A theory of local learning, the learning channel, and the optimality of backpropagation
Pierre Baldi, Peter Sadowski
Neural Computation
|
June 7, 2019
Temporal Evolution of Generalization during Learning in Linear Networks
Pierre Baldi, Yves Chauvin
Neural Networks : the Official Journal of the International Neural Network Society
|
May 25, 2019
The capacity of feedforward neural networks
Pierre Baldi, Roman Vershynin
Neural Networks : the Official Journal of the International Neural Network Society
|
October 5, 2021
A theory of capacity and sparse neural encoding
Pierre Baldi, Roman Vershynin
Neural Computation
|
June 7, 2019
Contrastive Learning and Neural Oscillations
Pierre Baldi, Fernando Pineda
BMC Structural Biology
|
December 6, 2008
SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERs
Arlo Randall, Pierre Baldi
Bioinformatics (Oxford, England)
|
April 25, 2013
A unifying kinetic framework for modeling oxidoreductase-catalyzed reactions
Ivan Chang, Pierre Baldi
Artificial Intelligence
|
April 29, 2014
The Dropout Learning Algorithm
Pierre Baldi, Peter Sadowski
Page
of 26