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Št. zadetkov: 5
An Objective Evaluation Criterion for Clustering
Arindam Banerjee
Video in druga učna gradiva
Oznake: computer science;machine learning;clustering
Leto: 2004 Vir: videolectures.net
Introduction to Graphical Models for Data Mining
Arindam Banerjee
Video in druga učna gradiva
Oznake: computer science;data mining;machine learning;graphical models
Graphical models for large scale data mining constitute an exciting development in statistical data analysis which has gained significant momentum in the past decade. Unlike traditional statistical models which often make `i.i.d.' assumptions, graphical models acknowledge dependencies among variable ...
Leto: 2010 Vir: videolectures.net
Restricted Eigen Condition for Heavy Tailed Designs
Arindam Banerjee
Video in druga učna gradiva
Oznake: computer science;machine learning;reinforcement learning;semi-supervised learning;active learning;computational learning theory;on-line learning
The restricted eigenvalue (RE) condition characterizes the sample complexity of accurate recovery in the context of high-dimensional estimators such as Lasso and Dantzig selector (Bickel et al., 2009). Recent work has shown that random design matrices drawn from any thin-tailed (subGaussian) dist ...
Leto: 2015 Vir: videolectures.net
Data Mining for Anomaly Detection
Jaideep Srivastava , Varun Chandola , Vipin Kumar , Aleksandar Lazarevic , Arindam Banerjee
Video in druga učna gradiva
Oznake: computer science;data mining
Anomaly detection corresponds to discovery of events that typically do not conform to expected normal behavior. Such events are often referred to as anomalies, outliers, exceptions, deviations, aberrations, surprise, peculiarities or contaminants in different application domains Detection of anomali ...
Leto: 2008 Vir: videolectures.net
Introduction to Machine Learning
Arindam Banerjee , NASA Ames Video and Graphics Branch
Video in druga učna gradiva
Oznake: computer science;machine learning
Over the past few decades, the field of Machine Learning has matured significantly, drawing ideas from several disciplines including Statistics, Optimization, and Artificial Intelligence. Applications of Machine Learning have led to important advances in a wide variety of domains ranging from Intern ...
Leto: 2011 Vir: videolectures.net
Št. zadetkov: 5
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