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Št. zadetkov: 5
Fast Solvers and Efficient Implementations for Distance Metric Learning
Kilian Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric learning known as large margin nearest neighbor (LMNN) classification. Within this framework, we focus specifically on the ch ...
Leto: 2008 Vir: videolectures.net
Distance Metric Learning for Kernel Machines
Kilian Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning;learning to rank;kernel methods
Recent work in metric learning has significantly improved the state-of-the-art in k-nearest neighbor classification. However, Support vector machines (with RBF kernels) are arguably the most popular class of classification algorithms that uses distance metrics to compare examples. In this talk I wil ...
Leto: 2010 Vir: videolectures.net
Panel discussion
Guillaume Obozinski , Raquel Urtasun , Massimiliano Pontil , Kilian Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;multiple kernel learning
Leto: 2010 Vir: videolectures.net
Learning with Marginalized Corruption
Kilian Q. Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2013 Vir: videolectures.net
Compressing Neural Networks with the Hashing Trick
Kilian Q. Weinberger
Video in druga učna gradiva
Oznake: computer science;machine learning
As deep nets are increasingly used in applications suited for mobile devices, a fundamental dilemma becomes apparent: the trend in deep learning is to grow models to absorb ever-increasing data set sizes; however mobile devices are designed with very little memory and cannot store such large models. ...
Leto: 2015 Vir: videolectures.net
Št. zadetkov: 5
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