Search Results for "classification" - Page 25
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Showing 774 open source projects for "classification"
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HSSVM(Hyper-Sphere Support Vector Machines) is a software for solving multi-classification problem, implemented by Java.
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Bioinformatics Perl extension for the analysis of antibody variable domain repertoires. Suitable for mammalian repertoire sequences obtained either by Sanger or 454 sequencing. Methods published in Glanville, Zhai, Berka et al, PNAS 2009.
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isvm: incremental svm implementation for Stephe ruiping's algorithm based on libsvm svmovoovr: implement for OVO OVR classification. pso-svm: PSO svm implementation
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This is a c-library that provides tools for advanced analysis of electrophysiological data. It features denoising, unsupervised classification, time-frequency analysis, phase-space analysis, neural networks, time-warping and more.
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RepMiner takes a graph theory approach to the classification and assembly of the repetitive fraction of genomic sequence data. Sequence lengths analyzed by RepMiner can range from full length transposable elements to low coverage sample sequence data.
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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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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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An educational science game involving identification and classification of plant and animal species.
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Manager of the International Classification of Diseases (ICD). Using MySQL database. The current version in Catalan (available in English and Spanish). In collaboration with CatSalut (Catalan Health Service) and TermCat (Catalan Terminology Service)
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This application illustrates natural language processing using tagged grammars and statistical classification. Outputs are shown with the EMMA specification of the W3C. A viewer is provided to allow for more user-friendly viewing of EMMA results.
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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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Fuzzy approach for finding features which distinguish HER images' classes - especially 2+ and 3+ in order to better images classification.
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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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ftc is a python script for content-based file type classification based on an file extension and magic number database, and several computational intelligence algorithms.
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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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This software was implemented to assess the risky behavior of pedestrian. returns the detection and classification of pedestrian and vehicles in the video scene; it also estimate the distance between pedestrian and the closest vehicle.
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Jems is an e-book management system. It is smart. It can automatically rename files & documents, classification, arrangement, etc. It also contains a search engine, that you can use it to find things you want.
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Provides pre-compiled MEX functions that wrap around the libsvm C library. Many enhancement are applied to the C version of the library to speed up Matlab usage. 64-bit only.
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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).
