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T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.
fuzzyweka provides an implementation of a classifier for fuzzy classification based on fuzzy if-then rules for WEKA.This classifier renowned the Simple Fuzzy Grid method proposed by the work of Ishibuchi and Al.
FathomFive is a classification aware lucene powered spidering and indexing solution, written in pure Java. It supports a variety of content types, provides an easy to use admin interface, and a customisable search interface. It spiders from HTTP and OAI.
Matlab Classification Toolbox contains implementations of the following classifiers: Naive Bayes, Gaussian, Gaussian Mixture Model, Decision Tree and Neural Networks. This toolbox allows users to compare classifiers across various data sets.
The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
The Word Vector Tool is a simple but flexible Java library to create word vector representations of text documents. Word vectors can be used for various text processing tasks, as text classification, text clustering or information retrieval.
Random Forest classification implementation in Java based on Breiman's algorithm (2001). It assumes the data is in the form [ X_1, X_2, . . ., X_M, Y ] where Y \in {0, 1, . . ., C}. The user must define M, C, and m initially.
Qualiweb aims at providing semantic web metrics for modeling a website visitors needs according to a given taxonomy or document classification. Web metrics provided by Qualiweb give an indication of how successful each of the website topics have been.
Java Interface for Neural and Genetic Pattern Classification JINGPaC is a framework to solve the problem of Pattern Classification thanks to Genetic Programming, Neural Network, Genetic Algorithms and many other techniques. JINGPaC2 is the latest version
Collection of Statistical Language Processing Tools and Modules for Information Retrieval, Document Classification, Vectorization, Pattern Matching, Knowledge/Text Mining related problems.
SNPMATIC (SNP MicroArray Training, Inference and Classification) is a tool for SNP genotype analysis of Affymetrix SNP Microarrays. It is in the early stages of development and it is expected that interest will be limited mainly to developers for now.
Taxabase is being developed as an open source, cross-platform application for the organisation, classification, retrieval and identification of biological taxa. Devel on "Rachis" aka taxabase3 is now beginning. Rachis is being implemented from scratch.
I am no longer working on PhotoDirectory; I have changed my digital photo workflow, and am now relying on embedded metadata as the primary classification method, with directory structure for easier browsing. See http://image-tagger.sourceforge.net
Thea, Tools for High-throughput Experiment Analysis, is an integrated information processing system dedicated to the annotation of data issued from classification systems with biological information coming from a knowledge base.
The Pattern Analysis Library (PALib) is a C++ class library for pattern classification/recognition. PALib consists of a wide range of machine learning routines such as Bayesian decision theory, artificial neural networks, and fuzzy inference systems.
elevateIT is an extension of ZOPE/Plone content management system and serves the requirements of large decentralized organizations and enterprises. elevateIT features support for multilingual content, classification of information by categories and more.
Canzoniere is an mp3 classification tool, which allows users to classify their songs using personal criteria such as artist score, song score and moods (i.e. romantic, relax, party, etc.). Users can then select their mood and play songs that match.
DETRIN is a C++ library of classification algorithms and other utilities
in the field of data mining. We will use standard ISO C++ programming
language to develop our project. The goal of DETRIN is to facilitate researchers in the related fields.