Search Results for "weka-stable-3.9.6.jar"

Super PDF Editor - Powerful, superfast, lightweight PDF processor. All-in-one PDF solution, PDF editing with 80+ tools and functions. The easy-to-use software is complete with editing tools for modifying PDF files your way. Most comprehensive, powerful, process-based and lightning-fast batch processor software. OCR PDF. PDF Imposition, Reverse Pages, Resize Page, Scale Page, Booklet, N-up Pages, Merge, Split by page, Extract Page, Rotate Page. Replace Page, Insert Page, Delete Page....

The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono.

The NeuroSolutions: Formula Generator utility converts the weights file of a default MLP breadboard (1-hidden layer with a TanhAxon in the hidden layer and either a TanhAxon or BiasAxon in the output layer) into a usable formula that can be copied and pasted into your own programs to compute the output of the trained neural network.

EBEs+jMetal is a software tool that allows to design bar structures which can further be optimized with multi-objective metaheuristics according to different goals, such as minimizing the structure weight and minimizing the deformation.

Many CD to MP3 apps, or downloaded albums, output ambiguous mp3 filenames. MRE restores filename conventions to your mp3 files, without 3rd party info sources, it uses what’s there: the filename/album folder itself!

vbWeka is a class library of a collection of machine learning algorithms in VB.NET. It is designed in the same style of the popular Java machine learning package - weka. In this release, B40, ID3 decision trees, IB1, Perceptron, Backpropagation, NaiveBay

SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). Work provided by UK Sheffield University funded by (AKT) an IRC sponsored by EPSRC, grant number GR/N15764/01.