Search Results for "classification" - Page 23
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Showing 774 open source projects for "classification"
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lonestar
A feature selection and classification algorithm based on L1 Norm SVM
A feature selection and classification algorithm. It is based on L1 Norm Support Vector Machine with t-test and Recursive Feature Elimination. -
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feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks
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MyNook
A machine learning system for supervised document classification
An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself. -
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FluoJ
Fluorescence microscopy image analysis tool
...We used it to measure sperm quality, cells movement, virus infection in plants and apoptosis in cancer cells. This results were achieved providing a customizable environment for particles detection, measurement and classification. A wide number of predefined features can be used to characterize fluorescent specimens (e.g. area, circularity, brightness, etc), and new descriptors can be easily added. Once configured, software can be trained to automatically classify particles or used directly for automatic image processing. -
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WaveSorter
A powerful, versatile tool for offilne spike analysis and sorting
...Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. ... -
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CoVEC
Consensus Variant Effect Classification
The package provides SVM models to be used with SVMlight (http://svmlight.joachims.org/) for drawing a consensus out of individual 3rd-party predictions about the effect of mutations. The 3rd party tools are SIFT, Polyphen2, SNPs&GO and Mutation Assessor. The package also provides a series of Perl modules and scripts to assist in the preparation of data. The modules can be used to build custom tools and pipelines, whereas the scripts provide basic executable implementations based on the... -
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This project is about converting a Wave file into MIDI and extracting the notes out of it. This project is done as a final year project of Computer Science and Engineering Department, University of Moratuwa.
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A tournament manager of the popular trick-based card game belote. This software provide functionalities from teams registration to final classification. Printing is based on highly customisable OpenOffice.org templates.
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This repository stores the public code and executable binaries of the Economically Enhanced Resource Manager (EERM) Simulator, coded as part of my research in Market-based Cloud Computing ( http://mario.site.ac.upc.edu ).
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multipsq
Analysis of pyrograms form multiplex pyrosequencing experiments
...These primers generate a fingerprint-pyrogram which is constituted by the sum of all individual pyrograms originating from each primer used. MultiPSQ allows the analysis and classification of multiplex-pyrograms originating from various pyrosequencing primers. -
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MCC-LIDAR
Multiscale Curvature Classification for LIDAR Data
MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm. -
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CS-AMPPred
The Cysteine-Stabilized Antimicrobial Peptides Predictor
This program reads a fasta file specified by -i option, then, converts it to SVM Light format, further runs the classification module of SVM Light and then evaluate the predictions. The support vector machine models were based on 310 antimicrobial peptide sequences extracted from antimicrobial peptides database and 310 non-antimicrobial peptide sequences extracted from protein data bank. The system's accuracy is 90% by using the polynomial model (default). -
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Averaged N-Dependence Estimators - AnDE
AnDE implements A1DE and A2DE
Averaged N-Dependence Estimators (A1DE and A2DE) achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see, G. Webb, J. -
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FCC DNS Grade
A sample program to evaulate the level of DNS service from Resolver
FCC has classified DNS resolver into few broad categories this is the "official" program to perform that classification. This is almost complete version of the command line tool. Stay tuned for an applet version -
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ParsInsert efficiently produces both a phylogenetic tree and taxonomic classification for sequences for microbial community sequence analysis. This is a C++ implementation of the Parsimonious Insertion algorithm.
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Workflow implemented in Windows Azure (Microsoft public cloud) to run knowledge-based analysis of the zeolite structure classification and prediction.
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Hary
Biblioteconomy software.
Cocoa utility for the classification of books, with a simple GUI -
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TPPS is a toolkit to make parallelized parameter scans of TMVA methods (regression and classification) using a batch system like LSF Batch. It is intended to be very simple, such that the user can easily modify it and dapt it to his or her needs.
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Software Inventory Audit Tool (SIAT)
Simple Tool for performing audit from a software inventory
...This tool is basic and designed to ease the life of IT management for analyzis/audit after full inventory of the software assets. Features: - import of machines, software list and inventory from OCS Inventory NG server - Classification of software (by type of licensing) - Management of licenses ownership - Audit : Assignment of licenses to installed software instances from the inventory, export of reports in excel format This is a very simple utility that has not be designed for huge assets management. It has been used and worked correctly 20-machines network, and might need to be redesigned for bigger ones. ... -
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HeroCraftAbilities
HeroCraft Abilities Using the CraftBukkeit Plugin
HeroCraft Abilities Using the CraftBukkeit Plugin for Minecraft This is to include Spell casting for wizard type and priest type spells. These spells are to use spheres and schools to manage classification and to allow restricted use of abilities for game balance. Ather Abilities will also include turn of the undead, etc. Mana will be used to manage wizard power and spell casting. Karma will be used to manage Priest power and spell casting. All abilities will impact karma in one way or another. . -
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Averaged N-Dependence Estimators (A1DE and A2DE) achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes. The resulting algorithm is computationally efficient while delivering highly accurate classification on many learning tasks. For more information, see, G. Webb, J.
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Ontology_jewerly
classification of stones
Ontology includes the classification of stones of E.Y. Kievlenko based on value of jewel -
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
