Performance-based design of self-compacting concrete (SCC): a contribution to enchance SCC mixtures robustness Sandra Conceição Barbosa Nunes Dissertação apresentada…

Slide 1Bayesian mixture models for analysing gene expression data Natalia Bochkina In collaboration with Alex Lewin, Sylvia Richardson, BAIR Consortium Imperial College London,…

1. Dynamic mixing kernels in Gaussian Mixture Classifier for Hyperspectral Classification Vikram Jayaram & Bryan Usevitch Dept. of Electrical & Computer EngineeringThe…

Slide 1 Domain Adaptation with Multiple Sources Yishay Mansour, Tel Aviv Univ. & Google Mehryar Mohri, NYU & Google Afshin Rostami, NYU Slide 2 2 Slide 3 3 Adaptation…

580.691 Learning Theory Reza Shadmehr EM and expected complete log-likelihood Mixture of Experts Identification of a linear dynamical system The log likelihood of the unlabeled…

Searching the truth: Visual search for abstract, well-learned objects Denis Cousineau, Université de Montréal This talk will be available at www.mapageweb.umontreal.ca/cousined…

High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture model Based on Minimum Message Length by Nizar Bouguila and Djemel Ziou Dissusion…

Domain Adaptation with Multiple Sources Yishay Mansour, Tel Aviv Univ. & Google Mehryar Mohri, NYU & Google Afshin Rostami, NYU Adaptation – motivation High level:…

This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and education use, including for instruction at…

Abstract Vulnerable plaques are the commonest source of cardiovascular problems. Plaque morphology can help the identification of such lesions. This work introduces a robust…