PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning
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3 projects in result set.
1. Primal SVM training - The purpose of this code is train linear and nonlinear Support Vector Machines based on primal optimization. More precisely, it includes Newton and conjugate gradient optimization.
 
  • Development Status: 4 - Beta [Filter]
  • Intended Audience: Developers [Filter]
  • License: GNU General Public License (GPL) [Filter]
  • Natural Language: English [Filter]
  • Programming Language: Other [Filter]
  • Topic: Artificial Intelligence [Filter]
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Register Date: 2006-09-15 12:06

2. Torch - This is a large Machine Learning library written in C++, that includes several well known machine learning algorithms such as SVMs, MLPs, RBFs, GMMs, HMMs, AdaBoost, Bagging, Parzen Windows, KMeans, KNN, etc.
 
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Register Date: 2006-06-21 13:39

3. VariKN Language Modeling toolkit - The project has been moved to github: https://github.com/vsiivola/variKN.
 
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Register Date: 2006-11-07 16:34