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(H)HMM Library and Designer
(H)HMM Library and Designer- This library allows probabilistic sequence models to be constructed through use of Hidden Markov models (HMMs) and Hierarchical Markov models HMMs (HHMMs) in Ocaml programming language. [GPL] ...
Spider: General Purpose Machine Learning Toolbox in Matlab
Spider: General Purpose Machine Learning Toolbox in Matlab- An object orientated environment for machine learning in Matlab. Algorithms can be plugged together and can be compared with (e.g. model selection, statistical ...
Bayes++: Open Source Bayesian Filtering Classes
Bayes++: Open Source Bayesian Filtering Classes- A library of C++ classes for Bayesian Filtering of discrete systems. [MIT] ...
LingPipe: Natural Language Processor (NLP)
LingPipe: Natural Language Processor (NLP)- A suite of Java libraries for the linguistic analysis of human language which can link entity mentions to database entries, uncover relations, cluster documents, and discover s ...
Sorting Algorithms for Machine Learning
Sorting Algorithms for Machine Learning- Various sorting algorithms including insertion, quick, merge, heap, Dutch National Flag, and radix with on-line demos. [Free] ...
ORANGE: Inter-active Machine Learning Data Mining components
ORANGE: Inter-active Machine Learning Data Mining components- A component based framework for data input/output, preprocessing, predictive modelling, ensemble methods, and modelling validation. [GPL] ...
OpenCyc
OpenCyc- Open source version of the Cyc technology, the world's largest and most complete general knowledge base and commonsense reasoning engine. Can be used as the basis of a wide variety of intelligent applications in ...
VIBES: Variational Inference for Bayesian Networks
VIBES: Variational Inference for Bayesian Networks- A software package which allows variance-modeled posterior inference to be performed automatically on a Bayesian network. [GPL] ...
MALLET: Advanced Machine Learning for Language
MALLET: Advanced Machine Learning for Language- An integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine lea ...
Beveridge, Ross
Beveridge, Ross- Computer vision, model-based object recognition, face recognition. ...
Machine Learning Software Collection of Peter Clark
Machine Learning Software Collection of Peter Clark- Various software packages from the staff and alumni of The University of Texas at Austin which include inductions, a partial lazy evaluation, and a derivative of the T ...
PRAPI: Pattern Recognition Application Programmer's Interface
PRAPI: Pattern Recognition Application Programmer's Interface- A library for many pattern recognition tasks. The main focus of this package is on image analysis but utilizes a general architecture and XML-based data inte ...
New Scientific Brainstorming Software for Inventors -- Windows, Mac and Linux
New Scientific Brainstorming Software for Inventors -- Windows, Mac and Linux- A software developed to help your team brainstorm. Words are replaced programmatically in user's idea sentence with new words from program ca ...
ArrayMiner - ClassMarker
ArrayMiner - ClassMarker- Programmatically isolate similarities between scattered classes of genes. Expression driven. Utilizes a voting method along with a k-Nearest-Neighbors classification. Very rich graphical interfa ...
UMDHMM and other statistical programs
UMDHMM and other statistical programs- This tool implements Hidden Markov Models and application to part-of-speech tagging. Also available; a multivariate hypothesis testing software for gaussian data, and a groundtruth/ ...
LibML
LibML- A machine learning library. New implementations of various machine learning algorithms. [GPL] ...
SUBDUE: Graph Based Knowledge Discovery
SUBDUE: Graph Based Knowledge Discovery- A program which discovers interesting and repetitive subgraphs in labeled graph representations using the minimum description length principle. Includes applications to molecular ...
JProGraM -- PRObabilistic GRAphical Models in Java
JProGraM -- PRObabilistic GRAphical Models in Java- JProGraM is a machine learning library which supports learning and inference algorithms for Bayesian networks, Markov random fields, hybrid random fields, probabilistic ...
AliceBOT
AliceBOT- The famous free software BOT developed in promotion of AIML (Artificial Intelligence Markup Language). [FREE] ...
The Lisa Project
The Lisa Project- A production rule based system implemented in a Common Lisp Object System (CLOS) for the development of Lisp based intelligent software agents. [LGPL] ...
Genetic Algorithm Projects at SourceForge.net
Genetic Algorithm Projects at SourceForge.net- A large collection of algorithm projects with complete sourcecode. [GPL] ...
The Leibniz Software System
The Leibniz Software System- A formal system for constructing artificial intelligent software agents from the book, 'Design of Logic-based Intelligent Systems' covering such topics as production rules, neural nets, suppo ...
Nieme: Classification, Regression, Ranking and Reinforcement Learning
Nieme: Classification, Regression, Ranking and Reinforcement Learning- A machine learning library for classification, regression, ranking and reinforcement learning. It implements several well-known algorithms and is spe ...
aiParts
aiParts- C++ classes for multi-decision problems implementing the High-Hope technique with sample programs. [MIT] ...
Markov TheBeast
Markov TheBeast- A Markov Logic Interpreter that focuses on efficient MAP inference and Online Learning featuring MAP inference using Cutting Planes combined with Max-Walk-Sat programming, parametrized weights, a shell i ...
Open Source Computer Vision Library
Open Source Computer Vision Library- Open source computer learning system making use of the Bayesian inferencing engine. [GPL] ...
What If: Web-based Scientific Discovery
What If: Web-based Scientific Discovery- An algorithm engine which will calculate everything from symmetry, torsion angles, polar fraction through protein analysis and bond angles. Online version only. [Free] ...
mloss : Machine Language Open Source Software
mloss : Machine Language Open Source Software- A community effort listing of reproducible research via open source software, open access to data and results, and open standards for interchange. [FREE] ...
An Object Oriented (OOP) Framework for Neural Networks in C#
An Object Oriented (OOP) Framework for Neural Networks in C#- A handy basic Class and back progagator to create the framework for AI Neural Networks. [GPL] ...
BoosTexter: A Boosting-based System for Text Categorization
BoosTexter: A Boosting-based System for Text Categorization- A general purpose machine-learning program based on boosting for building a classifier from text and/or attribute-value data. [GPL] ...
Graclus: Efficient Graph Clustering Software
Graclus: Efficient Graph Clustering Software- A fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. ...
The AutoClass Project
The AutoClass Project- A database of cases described by a combination of real and discrete valued attributes, and automatically finds the natural classes in that data. It can be seen as a Naive Bayes classifier where the ...
Machine Learning and Dragons - a Game
Machine Learning and Dragons - a Game- A game programmed using evolutionary algorithm-based methodology allowing the game to learn by the player's decisions. There is also a method to use the alternative reinforcement le ...
CMU Artificial Intelligence Repository
CMU Artificial Intelligence Repository- The Carnegie Mellon University School of Computer Science select list of a few very good machine learning systems. A list of 4 FTP repository links is also listed for exploring. [G ...
GMDH Shell
GMDH Shell- Provides GMDH-based machine learning technology for classification, continuous value prediction and time series forecasting. The software uses multi-core processors and HPC Linux clusters. [Commercial] ...
shogun
shogun- A generic SVN object interface with many implementations including OCAS, Liblinear, LibSVM, SVMLight, SVMLin, and GPDT. Each SVN provides implementations of the most common kernals such as Linear, Ploynomial, Gau ...
Extreme Learning Machine
Extreme Learning Machine- generalized Single-hidden Layer Feed forward Networks (SLFNs) and how to build them. Since work as universal approximators with adjustable hidden parameters, all parameters of ELMs can be analyt ...
Milepost GCC Compiler
Milepost GCC Compiler- A program compiler with built-in machine learning to find the most efficient compilation possible based upon the processor the program is run on. A collective optimization database, predictor web-s ...
JMLR Machine Learning Open Source Software
JMLR Machine Learning Open Source Software- Many algorithms, toolboxes and full languages are available for scientific computing. Abstracts, PDF, and source code is available. [GPL] ...
MLPY Machine Learning
MLPY Machine Learning- A high performance Python package for predictive modeling. Fast N-dimentional array manipulation is performed via numpy using C code. New features include: OLS, Ridge Regression, Kernel Redge Regre ...
Machine Learning (Theory)
Machine Learning (Theory)- A collaborative machine learning weblog by John Langford. ...
Fuzzy machine learning framework
Fuzzy machine learning framework- Fuzzy machine learning framework is a library of ADA packages and a GUI front-end based on graph-schemes, intuitionistic fuzzy sets and the possibility theory. Sources can be used on any ...
SMILE (Structural Modeling, Inference, and Learning Engine) with GeNIe
SMILE (Structural Modeling, Inference, and Learning Engine) with GeNIe- SMILE (Structural Modeling, Inference, and Learning Engine) is a fully portable library of C++ classes implementing graphical decision-theoretic met ...
Self-Taught: Software That Learns By Doing
Self-Taught: Software That Learns By Doing- Short article on self-modifying software touching on co-training, partial-programming, and genetic programming (GP) methods of problem solving. [FREE] ...
Meta-MEME: Motif-based Hidden markov Modeling of Biological Sequences
Meta-MEME: Motif-based Hidden markov Modeling of Biological Sequences- Software toolkit for building and using motif-based hidden Markov models of DNA and proteins. There is an online interactive version. Source written ...
Software Learning Projects at NASA
Software Learning Projects at NASA- A resource for open source software at NASA ...
Lemga: Learning Models and Generic Algorithms
Lemga: Learning Models and Generic Algorithms- A library of classes for optimizing (training) the generic models. Written in C++. Permission for use is required outside of classroom. [GPL] ...
Zinnia
Zinnia- Small portable online hand recognition system based on Support Vector Machines. Provides a relatively small machine model running at 50-100 char per second recognition speed. [BSD] ...
Machine Learning and Inference Laboratory
Machine Learning and Inference Laboratory- Downloadable group of programs comprising the EMERALD machine learning system, (Experimental Machine Example-based Reasoning and Learning Disciple) integrates five modules (e.g. ...
Matt Gerber's Predictive Technology Software Laboratory at the University of Virginia
Matt Gerber's Predictive Technology Software Laboratory at the University of Virginia- Statistical servers LibLinear and SVM-light, two fast loading models for supervised classification. Also MetaPixel GUI, a front end f ...
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Latest sites from Artificial Intelligence
Bibliography of SOM papers
A.L.I.C.E. AI Foundation
Program E
John Lennon Artificial Intelligence Project
Pascalice
MobyGames - Racter
Claude
KI2001
ICDM-01
ALT 1999
ICGI 2000
UAI 2000
Zemel, Richard
Boutilier, Craig
Caruana, Rich
Wu, Yingnian
Wallis, Guy
Rao, Rajesh P. N.
Tishby, Naftali
Versace, Massimiliano
Pearlmutter, Barak
Allan, Moray
Heskes, Tom
De vito, Saverio
Lerner, Uri N.
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