Forecasting Methods

Five methods for converting a signal to a binary representation. Methods outlined in Arthur Petrosian, "Kolmogorov Complexity of finite sequences and recognition of different preictal eeg patterns".Methods are:1. average method: sample assigned 1 if above the signal average2. modified zone...

** Update: The webinar recording is available at:http://www.mathworks.com/company/events/we.../wbnr51423.htmlThis example demonstrates building a short term electricity load (and price) forecasting system with MATLABdlT«. Two non-linear regression models (Neural Networks and Bagged Regression...

% This function can be used to evaluate objectively the performance of binarization methods for document image.%% May 17th, 2010, By Reza Farrahi Moghaddam, Synchromedia Lab, ETS,% Montreal, Canada%% The implemented measures are as follows [1]:% Precision% Recall% Fmeasure (used as one of the...


Platforms: Matlab

Reporting tool, with leading indicators for each asset, for an example Quantitative Fund.This asset definition is read by the runregression.m matlab file submitted elsewhere and allows to compute correlation coefficients and assign weights to relevant indicators when doing forecasting.


Platforms: Matlab

Disclosed are methods to compute the precise value of the logarithm of a sum and the logarithm of a subtraction.A number of practical problems can result in having too big or small values in intermediate values of a calculation. Then one tries to take logarithm of these values and operate on...


Platforms: Matlab

ARMAX-GARCH Toolbox (Estimation, Forecasting, Simulation and Value-at-Risk Applications)The ARMAX-GARCH Toolbox estimates, forecasts and simulates a large variety of ARMA and GARCH models with different distributions and for any order of AR(n), MA(m), ARCH (p) and GARCH (q) effects as well as it...


Platforms: Matlab

See paper "Minimum settling time control design through direct search methods" (preprint on http://arxiv.org/abs/1109.5966) by the same author.The settling time of a closed-loop response, depending on controller parameters, is an objective function not only non-smooth but actually discontinuous....


Platforms: Matlab

Active contour methods for image segmentation allow a contour to deform iteratively to partition an image into regions. Active contours are often implemented with level set methods because of their power and versatility. The primary drawback of level set methods is that they are slow to compute....


Platforms: Matlab

Monte Carlo methods have long been used in computational finance to solve problems where analytical solutions are not feasible or are difficult to formulate. However, these methods are computationally intensive making it challenging to implement and adopt. In the last decade, advances in...


Platforms: Matlab

Comparison analysis of numerical intergration methods, viz. trapezoid, Composite trapezoid, Simpson's Rule, Composite Simpson's rule, Mid-point Rule, Composite Mid-point Rule (scripts of all) taken from author's (Sulaymon L Eshkabilov) other submitted function files with above listed numeric...


Platforms: Matlab

Efficient and accurate computation of free baroclinic coastal-trapped waves, using pseudospectral methods, over general depth profiles for arbitrary vertical density profiles in horizontally semi-infinite domains.The methods are described in full in the accompanying paper:E.R. Johnson, J.T....


Platforms: Matlab

This program simulates a nonlinear dynamical system and estimates the hidden state using particle methods.The program compares the performance of 3 particle methods (particle filter, forward backward smoother (FBS),and Maximum A-Posterior Smoother (MAP).It computes the likelihood and MSE of each...


Platforms: Matlab

Two vein extraction methods as described by Miura et al. for finger vein authentication.Maximum curvature:This method will try to extract the centre lines of the veins. This is done by calculating local maximum curvatures in cross-sectional profiles of a vein image. The method is supposed to be...


Platforms: Matlab

"Financial Forecasting" is not an educational gimmick. This is a rigorous, in-depth, professional-level learning experience geared towards engaged professionals who wish to master all the specific components of financial forecasting needed to make sound long-term decisions at any level of the...


Platforms: Mac

Alyuda Forecaster XL is a forecasting tool for MS Excel based on neural networks. It is the first choice for Excel users who need a quick-to-learn and reliable forecasting tool embedded into familiar Excel interface. Forecaster XL is designed especially for easy and reliable forecasting, saving...


Platforms: Windows

Deliver workload forecasts. Best suited for call centers and staff managers. Too much staff and money is wasted. Too few staff and customers get mad. Scheduling optimization is a cornerstone of profitability. Get the right amount of staff at the right time through workload forecasting....


Platforms: Windows

WebService::MusicBrainz is a Perl module that will act as a factory using static methods to return specific web service objects. SYNOPSIS use WebService::MusicBrainz; my $artist_ws = WebService::MusicBrainz->new_artist(); my $track_ws = WebService::MusicBrainz->new_track(); my $release_ws...


Platforms: *nix

Tk::PerlMethodList is a Perl module to query the Symbol-table for methods (subroutines) defined in a class (package) and its parents. SYNOPSIS require Tk::PerlMethodList; my $instance = $main_window->PerlMethodList(); Tk::PerlMethodList is a Tk::Toplevel-derived widget. The window...


Platforms: *nix

Set::Hash is a Perl module with hashes as objects with lots of handy methods (including set comparisons) and support for method chaining. SYNOPSIS use Set::Hash; my $sh1 = Set::Hash->new(name=>"dan",age=>33); my $sh2 = Set::Hash->new(qw/weight 185 height 72/); $sh1->length->print; # 2...


Platforms: *nix

ulxmlrpcpp is a library to call methods on a remote server. ulxmlrpcpps main goal is to be as easy to use as possible but be fully compliant. It is object oriented and written in C++. ulxmlrpcpp is a library to perform calls via XML-RPC in an object oriented approach implemented in C++. It is...


Platforms: *nix