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BudgetedSVM download for Linux

Free download BudgetedSVM Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named BudgetedSVM whose latest release can be downloaded as BudgetedSVM_v1.1.zip. It can be run online in the free hosting provider OnWorks for workstations.

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BudgetedSVM


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DESCRIPTION

We present BudgetedSVM, a C++ toolbox containing highly optimized implementations of three recently proposed algorithms for scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines (AMM), Budgeted Stochastic Gradient Descent (BSGD), and Low-rank Linearization SVM (LLSVM). BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classi fication problems with millions of high-dimensional examples within minutes on a regular personal computer. We provide command-line and Matlab interfaces to BudgetedSVM, efficient API for handling large-scale, high-dimensional data sets, as well as detailed documentation to help developers use and further extend the toolbox.



Features

  • We provide efficient implementations of algorithms for highly-scalable non-linear SVM training.
  • The toolbox can handle large, high-dimensional data sets that cannot be loaded into memory.
  • The toolbox requires constant memory to train models that solve highly non-linear problems.
  • We provide command-line and Matlab interfaces to BudgetedSVM.
  • We provide an efficient API that provides functionalities for handling large, high-dimensional data sets. Using BudgetedSVM API, data sets with millions data points and/or features are easily handled.
  • For more details, please see the documentation included in the download package.
  • Published under industry-friendly Modified BSD licence.


Audience

Information Technology, Science/Research, End Users/Desktop



Programming Language

C++


Categories

Algorithms, Artificial Intelligence, Machine Learning

This is an application that can also be fetched from https://sourceforge.net/projects/budgetedsvm/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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