Search Results for "train"

...This information can be used for: - obtaining the knowledge which applications are most frequently used in the network - providing the users some basic statistics about their Internet connection usage (for example for which kinds of applications their connection is used the most) - creating scientific profiles of traffic generated by different applications or different groups of applications - creating a traffic generator, to imitate traffic generated by particular applications, or to imitate the real traffic in the network - implementing smart assessment of QoS in the network at the users' level and in the core of the network - obtaining precise data needed to train Machine Learning Algorithms - many more cases :-)

Use your smartphone or tablet as computer remote control with HTML5 browser using it as virtual keyboard and mouse. And it does not train more battery as average web surfing. Read more: http://www.foxjunior.eu/use-your-smartphone-or-tablet-as-virtual-keyboard-and-mouse/ If you find this free software useful, please help me with more rock'n roll coming! https://sourceforge.net/p/compremotecont/donate/

...This program is intelligent as it predicts what you may want to search next, based on your personal trends. After searching the suggestions, you can choose to reset or train it further. Programs that have similar idea are: Google AdWords, SERPWoo's Keyword Finder, Wordpot, and others. Difference is, this program is intelligent and it accepts your input data and then predicts keywords based on your likes or dislikes. As the main engine, it uses the SMOReg algorithm to analyze and map the keyword frequencies of your data. ...

Train and Validate QSAR models using state-of-the-art learning algorithms like SVM. Build classification and regression and use them to make predictions. The whole project is intended to serve the need for toxicological predictions.

ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN