Search Results for "classification" - Page 20
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Showing 641 open source projects for "classification"
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ECOC PAK is a C++ Library for the Error Correcting Output Codes classification framework. It supports several coding and decoding strategies as well as several classifiers.
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ECG2HRV
import and store ECG, associate to clinical data, automatic HRV
...v=AOzpNMC-FXU This multi-platform application will enable the user to import digital CSV ECGs at any sampling rate and store them in an encrypted local DB along with relevant clinical data of the patient. It also performs automatic QRS complex detection and RR interval classification showing the output in a visual chart that the user can edit to correct sources with artifacts or pats with bad detections. This project was developed using Netbeans 7.3 IDE. For further questions or feature requests please contact me at mamenarguez@ou.edu Please read wiki for initial setup -
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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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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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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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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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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.
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implementation of "GAIA: graph classification using evolutionary computation" in SIGMOD'10. a discriminative subgraph pattern mining algorithm using evolutionary computation implemented by the author
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Stockato API
Signal classification technology for mutual funds, ETFs, and stocks.
Stockato Web Services (SWS) is a collection of remote computing services, which apply Stockato’s signal classification technology to mutual funds, exchange-traded-funds, and stocks. You can build applications based on the web services such as a similarity-based search engine or a similarity-based portfolio managing system.
