pcSVM pre 1.0
pcSVM is a framework for support vector machines
pcSVM is a framwork for support vector machines. Support Vector Machines is a new generation of learning algorithms based on recent advances in statistical learning theory, and applied to large number of real-world applications, such as text categorization, hand-written character recognition. Support Vector Machines outperform other classifiers as artificial neural networks in most situations. The core of the framework is written in c++, I used boost.python for python support.
- Author: Uwe Schmitt
- Maintainer: Uwe Schmitt
- Home Page: http://www.procoders.net
- Download URL: http://public.procoders.net/cgi-bin/trac.cgi/wiki/pcSVM
- Keywords: machine learning, support vector machines
- License: bsd
- Platform: The code can be compiled on linux and windows. I used gcc 3.3 on linux and , VC7.1 on windows.
- Requires boost.python
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Categories
- Development Status :: 4 - Beta
- Intended Audience :: Developers
- Intended Audience :: Financial and Insurance Industry
- Intended Audience :: Information Technology
- Intended Audience :: Science/Research
- License :: OSI Approved :: BSD License
- Natural Language :: English
- Operating System :: Microsoft :: Windows
- Operating System :: POSIX :: Linux
- Programming Language :: C++
- Programming Language :: Python
- Topic :: Adaptive Technologies
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Image Recognition
- Topic :: Scientific/Engineering :: Mathematics
- Topic :: Software Development :: Libraries :: Application Frameworks
- Topic :: Software Development :: Libraries :: Python Modules
- Package Index Owner: rocksportrocker
- DOAP record: pcSVM-pre 1.0.xml
