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Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data.
A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and...
This tool allows to compute LOLIMOT models. LOLIMOT models are also called neuro-fuzzy models or fast neural network models. This tool can export the model into C, C++, Matlab.
MATLAB driver routines for the thermoluminescence apparatus using PT100 resistors as the heating and sensing elements described in the Review of Scientific Instruments v78, 083905 (2007). [DOI: 10.1063/1.2776972]
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NodeWeaver is a tool for generating SystemML Neuronal Networks from Neuronal Network descriptions (these technologies are nascent, so no links yet...). Intended use is to generate SystemML NNs for later execution using a SystemML simulator (e.g. BRAHMS).
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
Biolet is project aimed to analyze genomic DNA sequences using wavelets. Of additional interest may be a batch processing tool for doing round-robin scheduling of jobs on a beowulf cluster. For that checkout the project robin from the CVS.
neuro fuzzy net: 1. Object oriented Programming! 2. matlab project with back propagation, and hibrid learning. 3. Can use to MLP or ANFIS Sugeno modelling. 4. Integrated with Simulink (Sfunction M) by any questions mail me : tsepkovsky@yandex.ru
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Cell Motility Analysis Package analyzes timelapse sequences of moving cells. Various quantitites characterizing motility are calculated, including normal velocity of the membrane, cell contact area, and spatio-temporal auto-correlation functions.
OpenEERS (Open Earthquake Engineering Response Simulator) is a Matlab program for computing and animating the linear elastic response of discrete multiple degree of freedom structural systems using Newmark's Method.
Octave interface to the finite elements library Libmesh. Under the scientific interpreted language Octave, Octmesh allows using the Libmesh characteristics for the numerical simulation of partial differential equations on serial and parallel platforms.
APEX Tools is a collection of utilities used in conjunction with the processing of airborne hyperspectral data developed for the ESA-Prodex supported Airborne Prism EXperiment (APEX).
A toolbox for quantitative morphometric analysis of early development in spherical embryos, such as Xenopus laevis (African Clawed Frog). The toolbox is developed for Matlab 6.5 and higher and combines C-Mex code with Matlab functions.
OncoSNP is a computational method for the identification of copy number alterations and loss-of-heterozygosity in heterogeneous tumour samples from Illumina SNP genotyping data.
nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
This is the source code used in the 2013 PhD thesis by Warren Creemers
The thesis titled "On the Recognition of Emotion from Physiological Data"
This thesis was submitted by Warren Creemers In Partial Fulfillment of the Requirements for the award of Doctor of Philosophy, (Computer Science) and is currently under examination.
Warren Creemers completed this work at the Faculty of Communications, Health and Science - Edith Cowan University in February, 2013.
This script fills in a two dimensional surface with an unbroken, non-overlapping path. The path direction is random, so one can imaging a chess board filled with dominos, with the constraint that the layout of the dominos is complete (board is filled) an