Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Massimiliano Pontil

Showing results (1-10 of 21) with videos related to

Pageof 3
Sort By:
Neural Computation|November 27, 2004
On learning vector-valued functionsCharles A Micchelli, Massimiliano Pontil
Frontiers in Neuroscience|March 7, 2017
Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain DecodingLuca Baldassarre, Massimiliano Pontil, Janaina Mourão-Miranda
IEEE Transactions on Neural Networks|September 25, 2004
New results on error correcting output codes of kernel machinesAndrea Passerini, Massimiliano Pontil, Paolo Frasconi
The Journal of Chemical Physics|March 25, 2025
Slow dynamical modes from static averagesTimothée Devergne, Vladimir Kostic, Massimiliano Pontil, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 3, 2025
Schedule-Robust Continual LearningRuohan Wang, Marco Ciccone, Massimiliano Pontil, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 28, 2026
The seeds of the future are in the present: A blind exploration of metastable statesTimothée Devergne, Vladimir Kostic, Massimiliano Pontil, et al.
Journal of Chemical Theory and Computation|August 3, 2022
Characterizing Metastable States with the Help of Machine LearningPietro Novelli, Luigi Bonati, Massimiliano Pontil, et al.
BMC Bioinformatics|November 3, 2009
Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methodsStefano Lise, Cedric Archambeau, Massimiliano Pontil, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2017
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer LearningPeixi Peng, Yonghong Tian, Tao Xiang, et al.
Plos One|March 10, 2011
Predictions of hot spot residues at protein-protein interfaces using support vector machinesStefano Lise, Daniel Buchan, Massimiliano Pontil, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Neural Computation|November 27, 2004
On learning vector-valued functionsCharles A Micchelli, Massimiliano Pontil
Frontiers in Neuroscience|March 7, 2017
Sparsity Is Better with Stability: Combining Accuracy and Stability for Model Selection in Brain DecodingLuca Baldassarre, Massimiliano Pontil, Janaina Mourão-Miranda
IEEE Transactions on Neural Networks|September 25, 2004
New results on error correcting output codes of kernel machinesAndrea Passerini, Massimiliano Pontil, Paolo Frasconi
The Journal of Chemical Physics|March 25, 2025
Slow dynamical modes from static averagesTimothée Devergne, Vladimir Kostic, Massimiliano Pontil, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 3, 2025
Schedule-Robust Continual LearningRuohan Wang, Marco Ciccone, Massimiliano Pontil, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 28, 2026
The seeds of the future are in the present: A blind exploration of metastable statesTimothée Devergne, Vladimir Kostic, Massimiliano Pontil, et al.
Journal of Chemical Theory and Computation|August 3, 2022
Characterizing Metastable States with the Help of Machine LearningPietro Novelli, Luigi Bonati, Massimiliano Pontil, et al.
BMC Bioinformatics|November 3, 2009
Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methodsStefano Lise, Cedric Archambeau, Massimiliano Pontil, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 11, 2017
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer LearningPeixi Peng, Yonghong Tian, Tao Xiang, et al.
Plos One|March 10, 2011
Predictions of hot spot residues at protein-protein interfaces using support vector machinesStefano Lise, Daniel Buchan, Massimiliano Pontil, et al.
Pageof 3