Search Results for "computer based training" - Page 6
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Showing 132 open source projects for "computer based training"
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Dominatrix is a general purpose framework for building dynamic distributed projects. It is fairly stable, easy to use and extend, simple to install, and can be used for most any project that requires computation across multiple machines.
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Nexist is being developed based on a few hypotheses regarding Topic Maps (XTM) as an interface to a collaborative knowledge repository system. Nexist is a reference implementation for further collaborative development.
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This project is a plan devised to promote the application of computer in the research of materials science and engineering.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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kombinatoriC delta library
CAS Algorithms embeded as libraries.
Personal research achievements from the authors presented here in the form of symbolic Algebra and non-numerical analysis algorithms implemented in C/C++, Java, and/or Pascal. As part of a more wide, simple, powerful and robust CAS enviroment under development, new code will be continuously added up to this repository. The authors give their welcome and encouragement to everyone interested in bring some kind of collaboration. -
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The JAQPOT3 web services are OpenTox API-1.2 compliant web services. JAQPOT3 is a web application that supports model training and data preprocessing algorithms such as MLR, SVM, ANN and more.
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Cinefile
A category-based approach to exploring film data.
...This data is used for classification and is the subject of the category-based analysis. Cinefile was developed by the University of Mary Washington's Computer Science department (http://cas.umw.edu/computerscience).