Machine Learning Softwares [转]

Machine Learning Softwares [转]

C/C++ Programming

C++ Tutoral
The cplusplus.com Tutorial
C++ String
Introduction to Object-Oriented Programming Using C++
DJGPP
Standard Templale Library
Makefile Tutorial

Machine Learning Softwares

SVM Light - Support Vector Machine in C Source Code
LIBSVM - A C++ Library for SMO Support Vector Machines (Recommend)
CVM Toolbox - A C++ Implementation of Core Vector Machines (Recommend for Massive Data-sets)
UniverSVM - Transductive and sparse SVMs in C++
SVM in the Primal - Direct Primal SVM Solver
SVM-QP - Active Set QP solver for Large Scale SVM in Fortran 77
Torch3 - Machine Learning Package in C++
LASVM - Online SVM Implementation
MATLAB Support Vector Machine Toolbox
SimpleSVM Toolbox - Invariant SVM Implementation
Statlearn Toolbox
Weka 3 - Machine Learning Software in Java (Including SVM package)
Bow - A Toolkit for Text Retrieval, Classification and Clustering
SeDuMi - A MATLAB Package for Semi-Definite Programming
SDPT3 - A MATLAB Package for Semi-Definite-Quadratic-Linear programming
Other Geometric Programming Softwares
Mosek - An Optimization Software
Statistical Pattern Recognition Toolbox for Matlab
Netlab - A Matlab Neural Network Software
Decision Tree - C4.5/C5.0
Cover Tree - Fast Nearest Neighbor Search
GSL - GNU Scientific Library
Numerical Recipes in C
Other Software Packages for Kernel Machines

Machine Learning Journals

Journal of Machine Learning Research
Machine Learning
IEEE Transactions on Neural Networks
Neural Computation
Neural Networks
Neurocomputing
Journal of the American Statistical Association
Annals of Statistics
Data Mining and Knowledge Discovery
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition

Machine Learning Benchmark Datasets

UCI Machine Learning Repository
UCI Knowledge Discovery in Databases Archive
Text Datasets
Datasets for SMO
Datasets for Boosting
Reuters-21578
DELVE
Lufs Torgo - Regression Data Sets
EachMovie collaborative filtering data set
Resources for Face Database
The USC-SIPI Image Database
The NORB Dataset, V1.0

Useful Courses and Links in Machine Learning

Machine Learning Summer School 2005 at ANU
Machinel Learning Theory Forum
International Machinel Learning Society
Machinel Learning Conference Information
Statistical Learning Theory and Applications at MIT
Foundations of Machine Learning at Princeton
Convex Optimization with Engineering Applications at Stanford
Conic and Robust Optimization at Columbia
Templates for the Solution of Algebraic Eigenvalue Problems: a Practical Guide
Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods
Randomized Algorithms
Matrix Reference Manual
Mathematical Programming at Cornell
Distribution Theory and Statistical Inference at UNE
Virtual Laboratories in Probability and Statistics
Machine Learning, Tom Mitchell, McGraw Hill
Message Board on Kernel Machines
Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond