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Libocas

Jul 20, 2023

Efficient training of SVM classifiers

libocas implements an Optimized Cutting Plane Algorithm OCAS for training linear SVM classifiers from large-scale data. The computational effort of OCAS scales with Om log m where m is the sample size. In an extensive empirical evaluation, OCAS significantly outperforms current state-of-the-art SVM solvers.

libocas also implements the COFFIN framework for efficient training of translation invariant image classifiers from virtual examples.

Checkout these related ports:
  • Zn_poly - C library for polynomial arithmetic
  • Zimpl - Language to translate the LP models into .lp or .mps
  • Zegrapher - Software for plotting mathematical objects
  • Zarray - Dynamically typed N-D expression system based on xtensor
  • Z3 - Z3 Theorem Prover
  • Yices - SMT solver
  • Yacas - Yet Another Computer Algebra System
  • Xtensor - Multi-dimensional arrays with broadcasting and lazy computing
  • Xtensor-python - Python bindings for xtensor
  • Xtensor-io - Xtensor plugin to read/write images, audio files, numpy npz and HDF5
  • Xtensor-blas - BLAS extension to xtensor
  • Xspread - Spreadsheet program for X and terminals
  • Xppaut - Graphical tool for solving differential equations, etc
  • Xplot - X11 plotting package
  • Xlife++ - XLiFE++ eXtended Library of Finite Elements in C++