Machine Learning
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Showing 1–14 of 14 editor-approved links.
The Tenth International Conference on Inductive Logic Programming. London, July 24-27, 2000.
A standardized environment designed to evaluate the performance of methods that learn relationships based primarily on empirical data. Delve makes it possible for users to compare their learning methods with other methods on many datasets.
Random 10,000 worldwide companies sampled from aiHit. All data in this DB extracted and updated automatically from WWW using AI and machine learning.
When computers become capable of "natural thinking," should we begin to teach them like children?
Research on symbolic and numerical approaches to machine learning, first order logic, intelligent document processing, spatial data mining, human-computer interaction.
Research on higher-order concept learning, inductive logic programming, multi-agent learning systems, integration of prior knowledge, induction and deduction, incremental learning, hybrid symbolic/connectionist approaches, evolutionary strategies.
An algorithm that incrementally constructs decision trees from labeled examples. [AFL]
A general purpose library for Bayesian filtering written in C++. [LGPL]
Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception. [BSD]
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 other tests with minimal scripting knowledge. Written in Perl. [GPL]
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 significant trends. [GPL]
A community effort listing of reproducible research via open source software, open access to data and results, and open standards for interchange. [FREE]
A fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation.
Statistical servers LibLinear and SVM-light, two fast loading models for supervised classification. Also MetaPixel GUI, a front end for MetaPixel using Mono/C#. [GPL]