Predicted

If you could look 1 year ahead of competition, would you want to see? We'll give you 4 years. Predicted Desire, our histori will help you to find new solutions for your 21st century Startup. Fine-tune cost-driving, efficiency, and sales parameters as you want. See their combined effect on... Platforms: Windows, Windows 8, Windows 7, Windows Server

Let us assume the signal model:Y(k)=HX(k)+B(k)This script provides a method for the blind recognition of the number of sources (the size of X(k)). The noise must be spatially white and the number of receivers is assumed to be stricly greater than the number of sources. See reference [CHE91] Chen.... Platforms: Matlab

Retun predicted labels and a posteriori probabilities given training/test data. Platforms: Matlab

There are two stages in our experiments, one is to find the predicted values of the signal strengths (RSSId-deOaos) by using Grey prediction algorithm and second is to find the location coordinate of the mobile user by using Dynamic Triangular Location method. We have used grey prediction to... Platforms: Matlab

Kriging and inverse distance are popular interpolation methods, especially in earth sciences. There are some routines already available on matlab but are severely limited by matlabs memory constraints. By using gstat to handle interpolation and variogram modelling, very large datasets are easily... Platforms: Matlab

The goals of this project are to:o Used ERA to investigate/estimate model order (degree) and State Space Modelo Compare Power Curves of identified model and Manufactures specificationso Estimated/predicted output power based on wind speed input (ARX and ARMAX)o Identify a SkyStream3.7 Wind... Platforms: Matlab

Run exampleFilter.m to see how the algorithm performs on a sample of moderately noisy 2-photon imaging data. This function is a faster, vectorised, version of Java code written by C.P. Mauer as part of an ImageJ plugin (see below).function... Platforms: Matlab

Pretty fast code for zeros of Bessel functions of 1st and 2nd kindand for zeros of the derivatives. The Newton-Raphson method is usedwith the initial guess predicted from previously computed zeros. Platforms: Matlab

The Area under the Receiver Operating Characteristic is a common summary statistic for the goodness of a predictor in a binary classification task. It is equal to the probability that a predictor will rank a randomly chosen positive instance higher than a randomly chosen negative one.I was... Platforms: Matlab

Model for Soft Independent Modeling of Class Analogy (SIMCA) simca_model=simca(x,classes) input: x (samples x descriptors) for calibration classes (samples x 1) classes numbers (must be >0) output: simca_model struct with: models (1 x No. classes) struct with: (one for each class) x (samples x... Platforms: Matlab

This is a MATLAB version of Jerome Friedman's 1984 supersmoother algorithm. The original was written in Fortran; this is a vectorized translation. The algorithm is a variable span smoother which uses cross validation to pick the best span for each predicted point. Platforms: Matlab

The first just does detection by background subtraction. This can be considered as the ground truth.The second feeds the detection output into a Kalman filter. The predicted position from the kalman filter (red) is compared against the actual ground truth position (green).Toby... Platforms: Matlab

This plugin let you convert your blog into a training log and let you track your distance, time, calories and calculate your speed, time per km(or miles), and let you have advance statistics.You'r now able to use a variety of calculators; Training Zones Calculator, VDOT calculator, V02maxulator... Platforms: PHP

ProDy is a free and open-source Python package for analyzing protein structural dynamics. It allows for quantitative analysis of heterogeneous experimental structural datasets and comparison with theoretically predicted conformational dynamics. The input for ProDy is the atomic coordinates of... Platforms: *nix

The CVP optimizer uses the Markowitz-Sharpe approach as applied to planning, logistics and marketing models to increase profitability of a company’s production and trading activities. Any purchases and sales are regarded to be portfolio investments with predicted returns on the investments... Platforms: Windows

Using only scores, it ranks teams & predicts winners & spreads. Over the last 21 seasons it correctly predicted winners 65% of the time (71% for 1998) and spreads 57%. It also predicted 9 of the last 10 Super Bowl winners. View/print 8 reports and the schedule. Maintains 8 categories of... Platforms: DOS, OS/2, BeOS, Palm OS, Windows, Mac, *nix, Windows CE

Personal SmartCheck 3.0 uses S.M.A.R.T. technology to monitor hard drives internal S.M.A.R.T. attributes, predict possible drive failure and prevent data loss. Using predictions settings, Personal SmartCheck lets you know about a potential disk health problem before you lose valuable data.... Platforms: Windows

Advanced SmartCheck 4.0 uses S.M.A.R.T. technology to monitor all networked PC's hard drives internal S.M.A.R.T. attributes, predict possible drive failure and prevent data loss. Using predictions settings, Advanced SmartCheck lets you know about a potential disk health problem before you lose... Platforms: Windows

WiseType is an efficient and smart tool for automating your typing. It can dramatically save you time by auto complete your words / phrases and by eliminating the need of any spell checking. while typing, WiseType automatically displays a list with predicted words / phrasesfrom which you can... Platforms: Windows

Online advertising gives you the opportunity to build branding for your products or service and can get your message out to world quickly and efficiently. Suppose there was a better, cleverer way to reach your users. There is: video banners. Video is predicted to play a big role in the future of... Platforms: Windows