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Št. zadetkov: 5
Spectral Clustering and Embedding with Hidden Markov Models
Tony Jebara
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
Leto: 2007 Vir: videolectures.net
Graph Construction and b-Matching for Semi-Supervised Learning
Tony Jebara
Video in druga učna gradiva
Oznake: computer science;machine learning;semi-supervised learning
Graph based semi-supervised learning (SSL) methods play an increasingly important role in practical machine learning systems. A crucial step in graph based SSL methods is the conversion of data into a weighted graph. However, most of the SSL literature focuses on developing label inference algorithm ...
Leto: 2009 Vir: videolectures.net
Dynamic Bayesian Networks for Multimodal Interaction
Tony Jebara
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Dynamic Bayesian networks (DBNs) offer a natural upgrade path beyond classical hidden Markov models and become especially relevant when temporal data contains higher order structure, multiple modalities or multi-person interaction. We describe several instantiations of dynamic Bayesian networks that ...
Leto: 2005 Vir: videolectures.net
MAP Estimation with Perfect Graphs
Tony Jebara
Video in druga učna gradiva
Oznake: computer science;machine learning;graphical models
Efficiently finding the maximum a posteriori (MAP) configuration of a graphical model is an important problem which is often implemented using message passing algorithms and linear programming. The optimality of such algorithms is only well established for singly-connected graphs such as trees. Rece ...
Leto: 2009 Vir: videolectures.net
Multi-Task Discriminative Estimation for Generative Models and Probabilities
Tony Jebara
Video in druga učna gradiva
Oznake: computer science;machine learning;multi-task learning
Maximum entropy discrimination is a method for estimating distributions such that they meet classification constraints and perform accurate prediction. These distributions are over parameters of a classifier, for instance, log-linear prediction models or log-likelihood ratios of generative models. M ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 5
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