Search Results for "classification" - Page 22
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Showing 642 open source projects for "classification"
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Collaborative Classification of Large, Growing Collections with Evolving Facets. Demo: http://fmcp.seven.research.odu.edu/
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The Learnehr program implements the Semi-Supervised Set Covering Machine (S3CM) algorithm for Electronic Health Record (EHR) freetext classification. This work is part of the Wellcome Trust and NIHR funded project CALIBER.
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This project aims to implement in java the following text mining techniques: Text Language Detection, Keywords and keyphrases extraction, Text Classification, Text Clustering, Single or multiple documents Summarization, Plagiarism Detection.
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This RapidMiner-plugin consists of operators for feature selection and classification - mainly on high-dimensional (microarray-) data - and some helper-classes/operators.
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R package for classification under label uncertainty. (WARNING: this is a an early version under development, function definitions might change without notice.)
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SVM# is a svm(support vector machine) classification implemented in C#. The project contains both train and predict modules.
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Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.
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An information extraction library implementing modern algorithms for the extraction of named entities from text.
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Provides a set of tools for processing text, such as text extraction and classification. Classification implementations to be implemented include: Bayesian and Statistical (N-gram).
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The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
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An R package implementation of a consensus clustering methodology. This package allows users to perform re-sampling statistics based clustering using multiple clustering algorithms to assess the robustness of both clusters and members of clusters.
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An Artificial Intelligence based software written in Java, deployed as an EJB / WebService application and implementing neural networks for data processing. It aims to be the brain of the web by serving text classification, mood detectors, etc.
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cangsdb
a stand-alone web-based database tool for processing, managing and ana
...CANGS DB provides a very powerful data retrieval interface, which enables researchers to retrieve sample information and primers and barcodes information from any individual data set or from a combination of data set. It also provides interface to update sample information as well as taxonomic classification assigned by CANGS taxonomy analysis pipeline and delete any data set -
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A lyrical analysis and classification tool focused specifically on rhyming style in rap lyrics. Functions include phonetic transcription, rhyme visualization, and rapper classification.
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Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
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Onyx is for rapid prototyping and large-scale experimentation on advanced machine-learning algorithms with an emphasis on algorithms for online or streaming analysis, modeling, and classification.
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A tool for visualization, classification, and quantification of three-dimensional secondary ion mass spectrometry data.
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NewsRack is a tool/service that attempts to automate news monitoring. Based on user-specified definitions and rules, NewsRack will enable automated downloading, classification, filing, and long-term archiving of news.
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jASEN is a pure java Anti Spam ENgine combining bayesian-like scanning with intelligent email inspection and classification. jASEN is best suited to developers wishing to integrate anti-spam services into an existing server based java email application.
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This is a document organizer that learns from user behavior. It uses classification algorithms to prepare label-suggestions for files. It also has a search feature that extends user queries with WordNet dictionary.
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16s Ribosomal DNA analysis software. It includes a modified version of the Ribosomal Database Project's classification algorithm, as well as chimera detection. It is geared toward high-throughput classification of shorter, next-gen sequence data.
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This project develops a web-based (JSP) Fuzzy Rule-Based Expert System for analyzing ECG (electro cardio gram) signals & diagnosing Tachi-Arrhythmias. Proj. main blocks: inference engine, knowledgebase, KB editor, explanation, and feature extraction.
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The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.
