Search Results for "rough set matlab" - Page 2
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Showing 91 open source projects for "rough set matlab"
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electron-webpack-dashboard
Electron Desktop GUI for Webpack Dashboard
The original webpack-dashboard, was fun and people seemed to like it. Unless they were on Windows, or used a weird terminal set up, or if they just wanted more. Making things work across a variety of different terminal environments is pretty rough. Also, a web GUI provides some unique UI possibilities that weren't there with the term display. The original dashboard felt like working at NASA. 50 years ago. I hope this dashboard feels like working at NASA today. -
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EigenMS is a normalization method implemented in R (and older version in Matlab) available as a set of two functions that should be used in a sequence. Please download EigenMS.zip file (latest version). Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them.
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CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.
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INFOS
NMR spectrum fitting software
NOW COMPILED FOR USERS WITHOUT A MATLAB LICENSE! Download INFOS_comp_***.zip. INFOS is a set of programs for fitting NMR spectra in MATLAB. INFOS improves on existing methods by calculating peak shapes using acquisition and processing parameters, therefore leading to better fits. Additionally, INFOS can determine the peak list for fitting, by using iterative refinement of the list in order to improve the fit without overfitting. -
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AKtoolbox
Matlab Toolbox for coevolution analysis of multiple sequence alignment
AK Toolbox is a Matlab Toolbox for co-evolution analysis for protein Multiple Sequence Alignment (MSA) distributed under Simplified BSD License. The aim of AK toolbox is to provide a set of Matlab functions, which are independent of Matlab Bioinforamtics Toolbox, for coevolution anaylsis for MSA. At present, co-evolution methods available in this package are Statistical Coupling Analysis (SCA), Explicit Likelihood of Subset Covariance (ELSC), Mutual Information (MI), Observed Minus Expected Square method (OMES), McLanhlan Based Substitution Correlation (MCBASC), Direct-coupling analysis (DCA) and logR. ... -
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mflab
modflow laboratory
Matlab based scripting to set up, run and analyze groundwater model using (different versions of) MODFLOW (+SWI), MODPATH6, MT3DMS and SEAWAT. -
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MetricTens: Crystallography
GUI that enables crystallographic computations for all seven crystal s
This GUI was created in MATLAB and serves as an educational tool for both novice and experienced crystallographer, and as a quick tool to make crystallographic computations. This GUI allows the creation of stereographic projection as well as the individual computation of angles between planes and directions for all seven crystal systems. Those who work in preferred orientation of polycrystalline materials or single crystals might find this GUI useful. To view code, check MATLAB File... -
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PEM
A Matlab® Tool for Geodetic Reference Frame Definition
PEM allows calculating both the expected velocity value for any point located on the Earth providing a Euler pole (direct problem) and inferring the Euler pole parameters by inverting the observed velocities at a set of sites located on a rigid block (inverse problem). PEM is developed in Matlab® framework and is designed for easy-to-use file exchange with the GAMIT/GLOBK software package, and has a user-friendly graphical user interface (GUI). -
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classify-20-NG-with-4-ML-Algo
Problem involves classifying 20000 messages into different 20 classes
...Four Machine Learning algorithms; Naïve Bayes, Logistic Regression, Regularized Logistic Regression Support Vector Machine (SVM) were implemented and there training and test dataset accuracy were compared. Arguably, one of the most important aspect to solving this problem is having the appropriate data set format. Each of these algorithms has its peculiar data format; the specific format and how to reconstruct the entire dataset are illustrated in other sections below. Out of all the methods, SVM using the Libsvm [1] produced the most accurate and optimized result for its classification accuracy for the 20 classes. All the algorithm implementation was written Matlab. ... -
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Problem Description: 20 newsgroup Classification problem Bayesian learning for classifying net news text articles: Naive Bayes classifiers are among the most successful known algorithms for learning to classify text documents. We will provide a data set containing 20,000 newsgroup messages drawn from the 20 newsgroups. The dataset contains 1000 documents from each of the 20 newsgroups. 1. For classes descriptions, please refer Table 6.3 of Dr. Mitchell's book (Machine Learning, Tom...
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lasYmat provides a set of Matlab routines for reading and writing LAS files. LAS is a world wide Oil & Gas industry standard for distribution of Well Log data.
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DFT Functions With Octave
Real Spectrum Analysis with Octave and MATLAB
Abstract – A set of functions are presented for Octave / MATLAB that allow easy, consistent, and properly scaled DFT / FFT analysis of Signals and Noise. The techniques and functions presented are easily translated to other scripting or compiled programming languages. -
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JAABA
The Janelia Automated Animal Behavior Annotator
The Janelia Automatic Animal Behavior Annotator (JAABA) is a machine learning-based system that enables researchers to automatically compute interpretable, quantitative statistics describing video of behaving animals. Through our system, users encode their intuition about the structure of behavior by labeling the behavior of the animal, e.g. walking, grooming, or following, in a small set of video frames. JAABA uses machine learning techniques to convert these manual labels into behavior... -
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optPBN
An optimization toolbox for probabilistic Boolean networks
...Thereby optPBN allows for the identification of Boolean functions in the model from a given set of candidate Boolean rules which can be applied for network inference study. In addition, it also permits the determination of selection probabilities of Boolean rules in PBNs which can be further used to determine the influence of parent nodes in biochemical interactions. -
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EpidermalERKMAPK
Scripts for Modelling Human Epidermal ERK-MAPK Activation
...This code accompanies the publication: Cursons, J. et al (2015). Regulation of ERK-MAPK Signalling in Human Epidermis. BMC Systems Biology. doi: 10.1186/s12918-015-0187-6 The model was developed using a set the normalized-Hill differential equation framework, as specified by [Kraeutler, Soltis & Saucerman, (2002). BMC Systems Biology; doi: 10.1186/1752-0509-4-157]. This package includes: - MATLAB code containing the model definition, together with a script to perform non-linear least squares optimisation for a subset of parameters - python scripts which use libSBML to create an SBML representation of the model - SED-ML scripts which execute the SBML model under a range of conditions, produce output plots to recapitulate results shown in Cursons et al. (2015). -
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Vibrato Toolbox
Vibrato Toolbox: Parametric Analysis of Musical Vibrato
.... (1) We use some functions in MIR toolbox, please first add in this toolbox to MATLAB: https://www.jyu.fi/hum/laitokset/musiikki/en/research/coe/materials/mirtoolbox MATLAB/file -> set path add folder /Toolbox/ (and the folder for audio files) hit "save"; "close". (2) please also set the folder "F:\THISFOLDER" with code and audio files as "current directory" so the code can read the audio segment. -
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These scripts demonstrate the ability of one-dimensional formulations to reproduce the axial strain field of tensile single-walled carbon nanotubes (SWCNTs). The LAMMPS scripts return the molecular mechanics solution for some armchair and zigzag SWCNTs, while the Matlab scripts compute the numerical solution of a one-dimensional integro-differential tensile rod by B-spline finite elements. By using the proper set of nonlocal parameters, it is possible to correctly capture size and chirality effects observed in the axial strain profile computed with molecular mechanics. Reference M. Malagù, E. ...
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DVB LDPC
Different LDPC Libraries for DVB-T2/S2
Provides more than one different set of LDPC encoder and decoder, mainly to work with the DVB-T2 Common Simulation Platform Be sure to read the Wiki! -
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roughset
A little rough set API
Some rough set features implemented. -
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Face Recognition System
Face Recognition System Matlab source code
Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm. -
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MODLEM
rule-based, WEKA compatible, Machine Learning algorithm
...In result numeric attribute's conditions are more precise and closely describe the class. 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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Facial Expression Recognition
Facial Expression Recognition System - Matlab source code
We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. Such low-order components contain the "most important"... -
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This repository was set up accompanying the publication 'Robot-Assisted Arm Assessments in Spinal Cord Injured Patients: A Consideration of Concept Study' in the PLOS ONE journal. This repository provides a sample assessment logging data set and its evaluation using a MATLAB evaluation routine. Furthermore, it encompasses the assessment parameter data of the five measured patients and the 24 healthy subjects participating in the study.
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CupidTool
Cupid: simultaneous reconstruction of miRNA-target and ceRNA networks
Chiu et. al., Genome Research 2014 Cupid is a method for simultaneous prediction of miRNA-target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. We showed that our integrative approach significantly improves on miRNA-target prediction accuracy as assessed by both mRNA and protein level measurements in breast cancer cell lines. Cupid is implemented in 3 steps: Step 1: re-evaluate candidate miRNA binding sites in 3’ UTRs, as inferred by TargetScan,...
