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

Michalis K Titsias

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Neural Computation|August 20, 2002
Mixture of experts classification using a hierarchical mixture modelMichalis K Titsias, Aristidis Likas
Journal of the American Statistical Association|February 20, 2018
The Hamming Ball SamplerMichalis K Titsias, Christopher Yau
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 27, 2006
Bayesian feature and model selection for Gaussian mixture modelsConstantinos Constantinopoulos, Michalis K Titsias, Aristidis Likas
Neural Computation|April 9, 2004
Greedy learning of multiple objects in images using robust statistics and factorial learningChristopher K I Williams, Michalis K Titsias
Journal of the American Statistical Association|May 27, 2016
Statistical Inference in Hidden Markov Models Using <i>k</i>-Segment ConstraintsMichalis K Titsias, Christopher C Holmes, Christopher Yau
BMC Systems Biology|June 1, 2012
Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparisonMichalis K Titsias, Antti Honkela, Neil D Lawrence, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Computation|August 20, 2002
Mixture of experts classification using a hierarchical mixture modelMichalis K Titsias, Aristidis Likas
Journal of the American Statistical Association|February 20, 2018
The Hamming Ball SamplerMichalis K Titsias, Christopher Yau
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 27, 2006
Bayesian feature and model selection for Gaussian mixture modelsConstantinos Constantinopoulos, Michalis K Titsias, Aristidis Likas
Neural Computation|April 9, 2004
Greedy learning of multiple objects in images using robust statistics and factorial learningChristopher K I Williams, Michalis K Titsias
Journal of the American Statistical Association|May 27, 2016
Statistical Inference in Hidden Markov Models Using <i>k</i>-Segment ConstraintsMichalis K Titsias, Christopher C Holmes, Christopher Yau
BMC Systems Biology|June 1, 2012
Identifying targets of multiple co-regulating transcription factors from expression time-series by Bayesian model comparisonMichalis K Titsias, Antti Honkela, Neil D Lawrence, et al.
Pageof 1