budgetedsvm to run in linux online online with Winfy

We have hosted the application budgetedsvm to run in linux online in order to run this application in our online workstations with Wine or directly.

Quick description about budgetedsvm to run in linux online:

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++.

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