The demonstration presents the Matlab Toolbox for Dimensionality Reduction. The toolbox is publicly available and contains implementations of virtually all state-of-the-art techniques for dimensionality reduction and intrinsic dimensionality estimation. It provides implementations of 27 techniques for dimensionality reduction, 6 techniques for intrinsic dimensionality estimation, and additional...

Genetic algorithms (GAs) are stochastic global search and optimization methods that mimic the metaphor of natural biological evolution [1]. GAs operate on a population of potential solutions applying the principle of survival of the fittest to produce successively better approximations to a solution. At each generation of a GA, a new set of approximations is created by the process of selecting ...

State Space Models (SSM) is a MATLAB 7.0 software toolbox for doing time series analysis by state space meth-ods. The software features fully interactive construction and combination of models, with support for univariate andmultivariate models, complex time-varying (dynamic) models, non-Gaussian models, and various standard modelssuch as ARIMA and structural time-series models. The...

i ABSTRACT This thesis introduces the Model-Based Development of Multi-iRobot Toolbox (MBDMIRT), a Simulink-based toolbox designed to provide the means to acquire and practice the Model-Based Development (MBD) skills necessary to design real-time embedded system. The MBDMIRT toolbox runs under MATLAB/Simulink to simulate the movements of multiple iRobots and to control, after verification by si...

Summary PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks MATLAB. It offers scalable algorithms for optimization, uncertainty and identifiability analysis, which work in a very generic manner, treating the objective function as a black box. Hence, PESTO can be used for any parameter estimation problem, for which the user can provide a determinist...

Rewriting systems are used in various areas of computer science, and especially in lambda-calculus, higherorder logics and functional programming. We show that the unsupervised learning networks can implement parallel rewriting. We show how this general correspondence can be refined in order to perform parallel term rewriting in neural networks, for any given first-order term. We simulate these...

Spiking Neural Networks are the most realistic model compared to its biological counterpart. This paper introduces a MATLAB toolbox that is specifically designed for simulating spiking neural networks. The toolbox includes a set of functions that are useful for: creating and organizing the desired architecture; updating stimuli signals, adapting synapses and simulating the network; extracting a...

CEMTool is a command style design and analyzing package for scientific and technological algorithm and a matrix based computation language. In this paper, we present new 2D & 3D finite element method (FEM) packages for CEMTool. We discuss the detailed structures and the important features of pre-processor, solver, and post-processor of CEMTool 2D & 3D FEM packages. In contrast to the existing M...

SUMMARY ERNEST Reaction Network Equilibria Study Toolbox is a MATLAB package which, by checking various different criteria on the structure of a chemical reaction network, can exclude the multistationarity of the corresponding reaction system. The results obtained are independent of the rate constants of the reactions, and can be used for model discrimination. AVAILABILITY AND IMPLEMENTATION ...