P184
Probabilistic machine learning and artificial intelligenceRANKING RELATIONS USING ANALOGIES IN BIOLOGICAL AND INFORMATION NETWORKSLearning from labeled and unlabeled data with label probagationPerspectives and problems in motor learningAccelerating Bayesian hierarchical clustering of time series data with a randomised algorithm.Biomarker discovery in microarray gene expression data with Gaussian processes.Unsupervised Many-to-Many Object Matching for Relational Data.R/BHC: fast Bayesian hierarchical clustering for microarray dataDiscovering transcriptional modules by Bayesian data integration.Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approachGene function prediction from synthetic lethality networks via ranking on demand.A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series.A Very Simple Safe-Bayesian Random Forest.Relational Learning and Network Modelling Using Infinite Latent Attribute Models.Pitman Yor Diffusion Trees for Bayesian Hierarchical Clustering.Bayesian non-parametrics and the probabilistic approach to modelling.Bayesian correlated clustering to integrate multiple datasets.Learning about protein hydrogen bonding by minimizing contrastive divergence.Latent-space variational bayes.Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures.Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement LearningModel reductions for inference: generality of pairwise, binary, and planar factor graphs.A study of the effect of JPG compression on adversarial imagesDistributed Flexible Nonlinear Tensor FactorizationA Theoretically Grounded Application of Dropout in Recurrent Neural NetworksModeling T-cell activation using gene expression profiling and state-space models.A Bayesian approach to reconstructing genetic regulatory networks with hidden factors.Variational Infinite Hidden Conditional Random Fields.Human Activity Recognition by Combining a Small Number of Classifiers.Bayesian Gaussian process classification with the EM-EP algorithm.Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model.Bayesian segmental models with multiple sequence alignment profiles for protein secondary structure and contact map prediction.Bayesian model search for mixture models based on optimizing variational bounds.Factorial Hidden Markov ModelsUnsupervised LearningThe Infinite Hidden Markov ModelNonparametric Bayesian inference of transcriptional branching and recombination identifies regulators of early human germ cell developmentComputational models of sensorimotor integrationBranch-recombinant Gaussian processes for analysis of perturbations in biological time seriesBranch-recombinant Gaussian processes for analysis of perturbations in biological time series
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description
British intelligence researcher
@en
ingenieur uit Iran
@nl
name
Zoubin Ghahramani
@ast
Zoubin Ghahramani
@da
Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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altLabel
Z Ghahramani
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Z Ghahramani
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Z Ghahramani
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prefLabel
Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
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Zoubin Ghahramani
@es
Zoubin Ghahramani
@fo
Zoubin Ghahramani
@fr
Zoubin Ghahramani
@ga
Zoubin Ghahramani
@is
Zoubin Ghahramani
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P106
P69
P214
P268
P101
P1153
7003835482
P185
P19
P1960
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P2070
zoubin-ghahramani-11487
P21
P213
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