Machine Learning Softwares

http://www.cse.ust.hk/~ivor/resource.htm#programming Resources Links

C/C++ Programming

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

Machine Learning Softwares

SVM Light - Support Vector Machine in C Source Code (Including SVM Struct for structural output learning) LIBSVM - A C++ Library for SMO Support Vector Machines (Recommend) LIBCVM Toolkit - A C++ Library for {Core/Ball} Vector Machines (Recommend for Massive Data-sets) LIBLINEAR - A Library for Large Linear Classification (Recommend for linear classifiers) BMRM - Bundle Methods for Regularized Risk Minimization (For general convex loss functions) Shogun - A Large Scale Machine Learning Toolbox (Including multiple kernel learning) ManifoldLearn - Matlab Routines for Manifold Regularization SVMlin - Fast Linear SVM Solvers for Supervised and Semisupervised Learning Parallel GPDT - Parallel Gradient Projection-based Decomposition Technique for SVM UniverSVM - Transductive and sparse SVMs in C++ Multi Class SVM - Multiclass SVM by Crammer and Singer M-SVM - Multiclass SVM Implementation LASVM - Online SVM Implementation FlexCRFs -Flexible Conditional Random Fields SVM-QP - Active Set QP solver for Large Scale SVM in Fortran 77 mySVM - A C++ Implementation of SVMLight TinySVM - Another C++ Implementation of SVMLight SVMheavy - Incremental SVM SVM in the Primal - Direct Primal SVM Solver LSVM - Lagrangian SVM LS-SVMlab - Least-Squares SVM Gaussian Process Softwares by Neil Lawrence Torch3 - Machine Learning Package in C++ HeroSVM - SVM using Sparse Kernel Matrix MATLAB Support Vector Machine Toolbox SimpleSVM Toolbox - An Invariant SVM Implementation Statlearn Toolbox Weka 3 - Machine Learning Software in Java (Including SVM package) Bow - A Toolkit for Text Retrieval, Classification and Clustering CoresetPACK (C++ and Matlab) SeDuMi - A MATLAB Package for Semi-Definite Programming SDPT3 - A MATLAB Package for Semi-Definite-Quadratic-Linear programming BPMPD - A Matlab LP/QP Solver Benchmarks for Optimization Softwares Other Optimization Softwares by Stephen P. Boyd Some Source Codes for Computer Vision by Sameer Agarwal MATLAB and Octave Functions for Computer Vision and Image Processing HSIC Softwares by Le Song MAXFLOW - An implementation of the maxflow algorithm for graph-cuts Mosek - An Optimization Software Statistical Pattern Recognition Toolbox for Matlab Netlab - A Matlab Neural Network Software Code for Markov Chain Monte Carlo Parameter Estimation Decision Tree - C4.5/C5.0 Graclus - A Software for Trace Maximizing Clustering Cover Tree - Fast Nearest Neighbor Search GSL - GNU Scientific Library Numerical Recipes in C LAPACK++ - Linear Algebra PACKage in C++ Other Software Packages for Kernel Machines

Machine Learning Journals

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

Machine Learning Benchmark Datasets

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

Useful Courses and Links in Machine Learning

Machinel Learning Theory Forum International Machinel Learning Society Machinel Learning Conference Information Artificial Intelligence Conference Information BI, KDD and Data Mining Conferences / Workshops Information WikiCFP - Most Popular Categories of Call For Papers 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 Wolfram Mathworld Matrix Reference Manual Textbooks in Mathmatics 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 An Introduction to Conditional Random Fields for Relational Learning Gaussian Processes for Machine Learning Learning with Kernels Support Vector Machines, Regularization, Optimization and Beyond Journal-Ranking.com Wikipedia - the free encyclopedia

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