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Št. zadetkov: 16
Learning with Millions of Examples and Dimensions - Competition proposal
Sören Sonnenburg
Video in druga učna gradiva
Oznake:
Over the years many different classification methods have been proposed in machine learning. However it is currently very difficult to judge which method is the most efficient with respect to training time and memory requirements and classification performance, which are the practically relevant cri ...
Leto: 2007 Vir: videolectures.net
Large Scale Learning with String Kernels
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods
In applications of bioinformatics and text processing, such as splice site recognition and spam detection, large amounts of training sequences are available and needed to achieve sufficiently high prediction performance on classification or regression tasks. Although kernel-based methods such as SVM ...
Leto: 2007 Vir: videolectures.net
Interior Point SVM
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;support vector machines
Support vector machine training can be represented as a large quadratic program. We present an efficient and numerically stable algorithm for this problem using primal-dual interior point methods. Reformulating the problem to exploit separability of the Hessian eliminates the main source of computa ...
Leto: 2008 Vir: videolectures.net
Large Scale Learning - Challenge: Discussion and Summary
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2008 Vir: videolectures.net
Exchanging Software and Data
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning;software
Leto: 2010 Vir: videolectures.net
Shogun
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning
The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for kernel machines and features 15 different SVM implementations that all access features in a unified way via a general kernel framework o ...
Leto: 2010 Vir: videolectures.net
The next steps after UCI - mldata.org
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning;software
Recently, mloss.org has enabled machine learning researchers to register their software and allow other researchers to easily find, download, and reuse software matching their interests. Currently, more than 200 projects are listed. Furthermore, the Journal of Machine Learning Research now accepts p ...
Leto: 2010 Vir: videolectures.net
Introduction and overwiew of the Machine Learning Open Source Software workshop
Sören Sonnenburg
Video in druga učna gradiva
Oznake: events
We believe that the wide-spread adoption of open source software policies will have a tremendous ipact on the field of machine learning. The goal of this workshop is to further support the current dvelopments in this area and give new impulses to it. Following the success of the inaugural NIPS-MLOSS ...
Leto: 2008 Vir: videolectures.net
Learning interpretable SVMs for biological sequence classification
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;support vector machines
Leto: 2005 Vir: videolectures.net
Large Scale Genomic Sequence Support Vector Machines
Sören Sonnenburg
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;support vector machines
Leto: 2005 Vir: videolectures.net
Št. zadetkov: 16
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