PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning
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5 projects in result set.
1. DredViz - DredViz - (Dimensionality reduction for visualization) is a C++ software package that implements several nonlinear dimensionality reduction methods aimed for exploratory visualization of similarity structures.
 
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Register Date: 2006-11-20 11:15

2. Bayes Blocks - Bayes Blocks is a Python/C++ toolbox for variational Bayesian learning. It allows automatic derivation of learning and inference methods for a wide range of linear and nonlinear models. More information: http://www.cis.hut.fi/projects/bayes/
 
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Register Date: 2006-10-12 09:23

3. 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

4. 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

5. PASCAL Dataset Repository - The PASCAL Dataset Repository contains two main features: * a repository for storing, sharing and administering datasets * a challenge setting and scoring system
 
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Register Date: 2007-09-18 15:03