Search Results for "data mining algorithms in c#.net"

PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable...

Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide...

... and Alain Sigayret In you're in need of other GSH algorithms or their realizations in C++, you might want to investigate a project called Galicia on sourceforge. This program is free software and is licensed under GNU General Public License as published by the Free Software Foundation. Only jre7 compliant at the moment.

Generic System for Data Processing

DARPA Urban Challenge, a C++ based platform for testing Path Planning Algorithms: An application of Game Theory and Neural Networks. Rubin, Raphael (2007)

Waters - the Waikato Analysis Tool for Events in Reactive Systems. This software will enable users to create finite-state machine models in a graphical user interface, to simulate their execution, and to apply model checking algorithms to them.