All sites of Artificial Intelligen­ce

Robot Learning Laboratory - CMU Robot Learning Laboratory - CMU
Robot Learning Laboratory - CMU- Research on Localization and Mapping, Partially Observable Markov Decision Processes, Computer Vision and Image Processing, Robot Architectures and Programming Languages, Learning Algorit ...
Knowledge Acquisition & Machine Learning Lab - University of Bari Knowledge Acquisition & Machine Learning Lab - University of Bari
Knowledge Acquisition & Machine Learning Lab - University of Bari- Research on symbolic and numerical approaches to machine learning, first order logic, intelligent document processing, spatial data mining, human-compute ...
Machine Learning Group - Stockholm University Machine Learning Group - Stockholm University
Machine Learning Group - Stockholm University- Research on inductive logic programming for natural language processing and for knowledge discovery in databases. ...
Machine Learning Group - University of Bristol Machine Learning Group - University of Bristol
Machine Learning Group - University of Bristol- Research on higher-order concept learning, inductive logic programming, multi-agent learning systems, integration of prior knowledge, induction and deduction, incremental l ...
Knowledge Acquisition and Machine Learning Group - University of Ottawa Knowledge Acquisition and Machine Learning Group - University of Ottawa
Knowledge Acquisition and Machine Learning Group - University of Ottawa- Research projects mainly focused on text: Intelligent Information Access, Text Summarization, Text Analysis for Knowledge Acquisition. ...
Neural Networks Prediction Software Neural Networks Prediction Software
Neural Networks Prediction Software- Innovative neural networks stock prediction web-based software. Free trial. [Commercial] ...
Computational Biology Group - University of Wales Computational Biology Group - University of Wales
Computational Biology Group - University of Wales- Techniques include inductive logic programming, model based reasoning, evolutionary computing, neural networks, multivariate statistics. Applications to drig design, pro ...
Bioinformatics and Learning Metrics group - Helsinki University of Technology Bioinformatics and Learning Metrics group - Helsinki University of Technology
Bioinformatics and Learning Metrics group - Helsinki University of Technology- Analysis of functional genomics data, Construction of data-dependent metrics for focusing data analysis on relevant or important aspects of t ...
Freiburg Recognition of ON-line HANDwriting (Frog On Hand) Freiburg Recognition of ON-line HANDwriting (Frog On Hand)
Freiburg Recognition of ON-line HANDwriting (Frog On Hand)- An on-line handwriting recognition engine based upon statistical dynamic time warping (SDTW) and support vector machines with a Gaussian DTW kernel (SVM-GDTW). ...
Group Method of Data Handling (GMDH) Group Method of Data Handling (GMDH)
Group Method of Data Handling (GMDH)- Tutorials, software, online books and articles on forecasting and systems modeling, optimization in expert systems, pattern recognition, data mining and knowledge discovery, from a r ...
Pattern Recognition and Image Processing (PRIP) Lab, Michigan State University Pattern Recognition and Image Processing (PRIP) Lab, Michigan State University
Pattern Recognition and Image Processing (PRIP) Lab, Michigan State University- Develops algorithms and representations for efficient pattern matching. Applications include face recognition, fingerprint identification, i ...
Intelligent Systems, University College London Intelligent Systems, University College London
Intelligent Systems, University College London- Focuses on theory of logic and learning, and applied intelligent systems. Methodolgies range from traditional knowledge-based systems and neural networks to machine learnin ...
Machine Learning at UC Santa Cruz Machine Learning at UC Santa Cruz
Machine Learning at UC Santa Cruz- Research on decision theory, neural networks, computational biology, computational geometry, theoretical computer science, on-line learning algorithms, computational learning theory, re ...
Computational Intelligence, Learning, & Discovery Computational Intelligence, Learning, & Discovery
Computational Intelligence, Learning, & Discovery- Pursues research on algorithms and software tools for gleaning knowledge from data and their applications in Bioinformatics, Security Informatics, Medical Informatics, G ...
Computational Intelligence Group - University of Bristol Computational Intelligence Group - University of Bristol
Computational Intelligence Group - University of Bristol- Research on kernel methods, support vector machines, neural networks, machine vision, bioinformatics, computational learning theory. ...
MeBot Project MeBot Project
MeBot Project- A 'welcome bot' experiment set up in the first person to represent the author, MrHolden. ...
Probabilistic and Statistical Inference - University of Toronto Probabilistic and Statistical Inference - University of Toronto
Probabilistic and Statistical Inference - University of Toronto- Research on computational machine learning tools and theoretical frameworks with applications in computational molecular biology, computer vision, sensory ...
Machine Learning and Inference Laboratory - GMU Machine Learning and Inference Laboratory - GMU
Machine Learning and Inference Laboratory - GMU- Research on Theories of Learning, Inference, and Discovery Data Mining and Knowledge Discovery, User Modeling and Intrusion Detection, Non-Darwinian Evolutionary Computati ...
Columbia University Center for Computational Learning Systems (CCLS) Columbia University Center for Computational Learning Systems (CCLS)
Columbia University Center for Computational Learning Systems (CCLS)- CCLS investigates machine learning and data mining and their application to natural language understanding, the World Wide Web, bioinformatics, system ...
Machine Learning Research Group - UW-Madison Machine Learning Research Group - UW-Madison
Machine Learning Research Group - UW-Madison- Research on information retrieval and extraction, bioinformatics, connectionist models, hybrid systems. ...
GSIC GSIC
GSIC- A group of researchers interested in artificial intelligence, computer supported collaborative learning and grid computing. ...
Machine Learning Research Group - UTCS Machine Learning Research Group - UTCS
Machine Learning Research Group - UTCS- Research on General Inductive Learning, Inductive Logic Programming, Natural Language Learning, Qualitative Modeling and Diagnosis, Learning for Planning and Problem Solving. Recom ...
Machine Learning Laboratory - UMass Machine Learning Laboratory - UMass
Machine Learning Laboratory - UMass- Research on Neural Networks and Decision Trees. ...
Cognitive Computation Group at UIUC Cognitive Computation Group at UIUC
Cognitive Computation Group at UIUC- Developing theories and systems pertaining to intelligent behavior using a unified methodology. At the heart of the approach is the idea that learning has a central role in intelligen ...
C4.5 and FOIL C4.5 and FOIL
C4.5 and FOIL- The home page of R. Quinlan with FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees). [LGPL] ...
The Torch Machine Learning Library The Torch Machine Learning Library
The Torch Machine Learning Library- This package forms a complete gradient descent machine learning library. Modules support vector machines in classification and regression, ensemble models such as bagging or adaboost, ...
Tree Visualizer Tree Visualizer
Tree Visualizer- Software which allows one to navigate (fly) through the data tree, zoom in on interesting nodes, click on bars to get counts, and mark interesting places in the tree. Includes datasets for automobiles, v ...
GAlib: Matthew's Genetic Algorithms Library GAlib: Matthew's Genetic Algorithms Library
GAlib: Matthew's Genetic Algorithms Library- A toolset of genetic algorithm objects for C++ to perform optimization. Uses any representation and genetic operators. The documentation contains implementation and examples. ...
UCI Machine Learning UCI Machine Learning
UCI Machine Learning- A repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms at the University of Californ ...
Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering
Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering- A library of C code useful for writing statistical text analysis, language modeling, and information retrieval programs. Th ...
WinMine Toolkit WinMine Toolkit
WinMine Toolkit- A set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. [Free] ...
FastMix FastMix
FastMix- Generates Gaussian mixture models for large datasets using efficient KD-clustering algorithms. [Free] ...
ITI: Incremental Tree Inducer ITI: Incremental Tree Inducer
ITI: Incremental Tree Inducer- An algorithm that incrementally constructs decision trees from labeled examples. [AFL] ...
Weka 3: Data Mining Software Weka 3: Data Mining Software
Weka 3: Data Mining Software- A collection of tools that implement decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, ...
NEITHER: A Propositional Theory Refinement NEITHER: A Propositional Theory Refinement
NEITHER: A Propositional Theory Refinement- A system to modify an incomplete or incorrect rule base to make it consistent with a set of input training examples. Written in C++ [Free] ...
PRODIGY: An Architecture for Planning and Learning PRODIGY: An Architecture for Planning and Learning
PRODIGY: An Architecture for Planning and Learning- A system of research planning and learning utilizing explanation-based learning, partial evaluation, experimentation, graphical knowledge acquisition, automatic abstrac ...
Machine Learning Software Packages Machine Learning Software Packages
Machine Learning Software Packages- Various classes, packages, macros and other software systems related to machine learning. [GPL] ...
Pattern Matching Pointers Pattern Matching Pointers
Pattern Matching Pointers- Using algorithms to address issues of searching and matching strings and more complicated patterns such as trees, regular expressions, graphs, point sets, and arrays. [GPL] ...
CHILL: Constructive Heuristics Induction for Language Learning CHILL: Constructive Heuristics Induction for Language Learning
CHILL: Constructive Heuristics Induction for Language Learning- A general approach to the problem of inducing natural language parsers. It uses an annotated corpus, and produces a parser by using ILP for inducing the rul ...
Software Packages for Graphical Models/Bayesian Networks Software Packages for Graphical Models/Bayesian Networks
Software Packages for Graphical Models/Bayesian Networks- Tools for modeling graphs and Bayesian networks. Scroll down. [AFL], [Commercial] ...
General Hidden Markov Model Library General Hidden Markov Model Library
General Hidden Markov Model Library- Hidden Markov Models software library from the Center of Applied Informatics, Cologne. Includes algorithms such as Viterbi, Baum-Welch, and Forward-Backward. [GPL] ...
libbpfl - A Bayesian Probability Filtering Library libbpfl - A Bayesian Probability Filtering Library
libbpfl - A Bayesian Probability Filtering Library- A general purpose library for Bayesian filtering written in C++. [LGPL] ...
Experience-based Language Acquisition Experience-based Language Acquisition
Experience-based Language Acquisition- Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception. [BSD] ...
NSP: N-gram Statistics Package NSP: N-gram Statistics Package
NSP: N-gram Statistics Package- Software for counting and analyzing word n-grams in text. This package provides standard tests of association for identifying word n-grams in large corpora and allows users to implement ot ...
TIMBL: Tilburg Memory Based Learner TIMBL: Tilburg Memory Based Learner
TIMBL: Tilburg Memory Based Learner- A program implementing several memory-based learning techniques. These learners store representation of the training set explicitly, and classifies new cases by extrapolation from the ...
BETSY: A Bayesian Essay Test Scoring System BETSY: A Bayesian Essay Test Scoring System
BETSY: A Bayesian Essay Test Scoring System- A windows-based program that classifies text based on trained material. Designed for automated essay scoring, BETSY can be applied to any text classification task. [GPL] ...
MEME/MAST: Motif Discovery and Search MEME/MAST: Motif Discovery and Search
MEME/MAST: Motif Discovery and Search- A software package to discover motifs (highly conserved regions) in groups of related DNA or protein sequences and, search sequence databases using motifs. [Commercial] ...
Maximum Entropy Modeling Toolkit Maximum Entropy Modeling Toolkit
Maximum Entropy Modeling Toolkit- A library of tools for constructing maximum entropy (maxent) model in either python or C++. Some program features are L-BFGS and GIS parameter estimation, and gaussian prior smoothing. [ ...
Nonparametric Classification with Polynomial MPMC Cascades Nonparametric Classification with Polynomial MPMC Cascades
Nonparametric Classification with Polynomial MPMC Cascades- Scalable non-parametric classification with Polynomial MPMC Cascades for use in Matlab. [GPL] ...
KEEL: Knowledge Extraction based on Evolutionary Learning KEEL: Knowledge Extraction based on Evolutionary Learning
KEEL: Knowledge Extraction based on Evolutionary Learning- The aim of this project is to develop a Computational Environment for integrating the design and use of knowledge extraction models from data using evolutionary ...

Latest sites from Artificial Intelligen­ce