Search Results for "classification" - Page 2
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Showing 113 open source projects for "classification"
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sgmweka
Weka wrapper for the SGM toolkit for text classification and modeling.
Weka wrapper for the SGM toolkit for text classification and modeling. Provides Sparse Generative Models for scalable and accurate text classification and modeling for use in high-speed and large-scale text mining. Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index. The provided .zip file is in the Weka package format, giving access to text classification. ... -
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GA-EoC
GeneticAlgorithm-based search for Heterogeneous Ensemble Combinations
...The classification performances achieved by the proposed method method on the chosen datasets are promising. -
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Scene is a computer vision framework that performs background subtraction and object tracking, using two traditional algorithms and three more recent algorithms based on neural networks and fuzzy classification rules. For each detected object, Scene sends TUIO messages to one or several client applications. The present release features GPU accelerated versions of all the background subtraction methods and morphological post processing of the object blobs with dilation and erosion filters, implemented in OpenCL. The framework was mainly designed as a toolkit for the rapid development of interactive art projects that explore dynamics of complex environments. ...
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Java Library for Machine Learning
A pure Java library for machine learning
JML is a machine learning library in Java, it is a pure Java package, and thus is cross-platform. The goal of JML is to make machine learning methods very easy to use and speed up code conversion from MATLAB to Java. Please be noted that JML has been replaced by LAML. -
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Sequencia
Protein Primary Sequnece Analysis
...SEQUENCIA Tool is an offline Tool of Primary Sequence Analysis, which is quite prevalent Topic for Researchers all over the world. Sequence Name, Sequence Length, Absorbance, Net charge, Iso electric charge, Amino acid composition, Amino acid classification, Aliphatic Index, Instability Index, Average Hydropathy etc are the Primary Sequence Analysis related Attributes for which this Tool exist. This work includes all the Physiochemical Properties- related to Primary Sequence Analysis under a common platform. JAVA, BIOJAVA were used under Platform Independent architecture. The Tool includes Properties of being offline where result can be stored in Text Format, here we can paste more than one sequence and also upload FASTA file to compute Parameters. -
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Fingrams Generator
Stand-alone software tool able to generate and visualize fingrams.
...It handles fuzzy systems designed by whatever fuzzy modeling tool. This tool takes as input a standard configuration file easy to be generated from a fuzzy system. Currently, Fingrams can be generated for classification, regression fuzzy rule based systems and fuzzy association rules. GUAJE [http://www.softcomputing.es/guaje], and KEEL [http://www.keel.es] are able to automatically produce the required input file. -
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LogDistiller is a logfile merge and sort tool. Log content is classified according to rules configured in an XML file. Classification results go into reports, which are published : simply stored in a file, sent by mail, or even added to a news feed.
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The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.g. clustering, classification, graphical models, neural networks, Bayesian networks, text processing, optimization).
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An online platform for emotion analysis, classification and risk perception analysis in social media data. The platform is a step further towards bridging the gap between: Emotion classification and analysis on one side, and risk perception dissemination analysis on the other side. The platform core values are: - Open source - Ease of use - Extensibility and flexibility
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The JINSECT toolkit is a Java-based toolkit and library that supports and demonstrates the use of n-gram graphs within Natural Language Processing applications, ranging from summarization and summary evaluation to text classification and indexing.
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This application assists in generating pre-compositional material based on a computational interpretation of the 'Schillinger System of Musical Composition' (Schillinger 1946).
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Koppen Climate Classifier
A Classifer for Koppen Climate Classification System
The Koppen Climate Classifier is an open source software written in Java that classifies regional climate based on Koppen Climate Classification System. It classifies climate based on three types of inputs: temperature, precipitation and hemisphere. The Koppen Climate Classification is one of the most widely used climate classification systems. It was first published by a Russian German climatologist, Wladimir Koppen. This system is based on the concept that native vegetation is the best expression of climate. -
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Clustering Variation looks for a good subset of attributes in order to improve the classification accuracy of supervised learning techniques in classification problems with a huge number of attributes involved. It first creates a ranking of attributes based on the Variation value, then divide into two groups, last using Verification method to select the best group.
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MODLEM
rule-based, WEKA compatible, Machine Learning algorithm
...This algorithm contains some aspects of Rough Set Theory: the class definition can be described accordingly to its lower or upper approximation. For more information, see: Stefanowski, Jerzy. The rough set based rule induction technique for classification problems. In: Proc. 6th European Congress on Intelligent Techniques and Soft Computing, vol. 1. Aachen, 1998. s. 109-113. -
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libVMR
VMR - machine learning library
...libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). The library has been designed to learn from data sets. Typical applications here are pattern recognition ( binary classification). -
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TUIT
Taxonomic Unit Identification Tool
...Read our paper in Biotechniques: http://www.ncbi.nlm.nih.gov/pubmed/24502797 Taxonomic Unit Identification Tool (TUIT) is a free open source platform-independent software, designed specifically to facilitate taxonomic annotation of nucleotide sequences via BLAST homology search against the NCBI databases. TUIT is immediately applicable for both to 16S microboime studies as well as for taxonomic classification of the nucleotide reads. Please see the project's Wiki page. -
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Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
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Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
...Minimum expected cost criteria Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix -
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CalPCS
A pitch class set analyzer.
...System requeriments: Java Runtime Environment 1.6 or above. Screen of at least 800x600px. Optional: A Java Sound Bank. The program displays for each set their normal order, classification, transposition, whether it is an inversion, prime form, interval vector and the invariant property. -
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LPCforSOS is a machine learning framework with a special focus on structured output spaces and pairwise learning. It supports currently multiclass, ordinal, hierarchical, multi-label and label ranking classification settings.
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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SecStAnT
Secondary Structure Analysis Tool for data selection and statistics
SecStAnT is a tool for the automatic creation of data-sets of structures from Protein Data Bank (PDB) with user-defined structural composition, and for the calculation of their internal variables distributions. SecStAnT is able to 1. Select from PDB data sets of structures based on user specified secondary structures (defined based on internal PDB classification or on DSSP) and/or sequence motives. 2. Build Data-sets at different levels of resolution (all atoms, only backbone, only Cα, ...) 3. Evaluate statistical distributions of internal variables: a. single variable distributions (including the most relevant in the atomistic representation, e.g. PHI and PSI and a number of those for the Cα based representation) b. two variables correlations (including the PHI-PSI Ramachandran map and its equivalent in the Cα based representation) c. three variables correlations -
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avimmir
(audio, video, image) Multimedia Multimodal Information Retrieval
audio classification; speaker segmentation; speaker clustering; speaker recognition; spoken document retrieval; image retrieval; video retrieval; etc. -
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TextProcessor
A Java package to preprocess text datasets for posterior text analysis
...Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also being extended for more advanced text analysis tasks based on natural language processing techniques. -
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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
