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Št. zadetkov: 8
PAC-Bayesian Analysis: A Link Between Inference and Statistical Physics
Yevgeny Seldin
Video in druga učna gradiva
Oznake: mathematics;control theory;physics;statistical physics
PAC-Bayesian analysis is a general tool for deriving generalization bounds for a wide class of inference rules. Interestingly, PAC-Bayesian generalization bounds take a form of a trade-off between the empirical performance of the inference rule and the KL-divergence between the posterior distributio ...
Leto: 2012 Vir: videolectures.net
Multi-Classification by Categorical Features via Clustering
Yevgeny Seldin
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
We derive a generalization bound for multi-classification schemes based on grid clustering in categorical parameter product spaces. Grid clustering partitions the parameter space in the form of a Cartesian product of partitions for each of the parameters. The derived bound provides a means to evalua ...
Leto: 2008 Vir: videolectures.net
PAC-Bayesian Approach to Formulation of Clustering Objectives
Yevgeny Seldin
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
Clustering is a widely used tool for exploratory data analysis. However, the theoretical understanding of clustering is very limited. We still do not have a well-founded answer to the seemingly simple question of “how many clusters are present in the data?”, and furthermore a formal comparison of cl ...
Leto: 2009 Vir: videolectures.net
Introduction
Yevgeny Seldin
Video in druga učna gradiva
Oznake: events;computer science;machine learning
Leto: 2011 Vir: videolectures.net
Opening remarks
Yevgeny Seldin
Video in druga učna gradiva
Oznake: computer science;machine learning;events
Leto: 2012 Vir: videolectures.net
PAC-Bayesian Analysis in Unsupervised Learning
Yevgeny Seldin
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Leto: 2010 Vir: videolectures.net
PAC-Bayesian Analysis and Its Applications
Yevgeny Seldin , François Laviolette , John Shawe-Taylor
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;reinforcement learning
PAC-Bayesian analysis is a basic and very general tool for data-dependent analysis in machine learning. By now, it has been applied in such diverse areas as supervised learning, unsupervised learning, and reinforcement learning, leading to state-of-the-art algorithms and accompanying generalization ...
Leto: 2012 Vir: videolectures.net
Poster session
Alexandre Lacoste , Nicolas Baskiotis , Stefan Kremer , Aurélie Boisbunon , Morteza Haghir Chehreghani , Yuri Grinberg , Amir-massoud Farahmand , Marina Sapir , Mohammad Ghavamzadeh , Yevgeny Seldin
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 8
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