Search Results for "virtual-machine"

Implementation of algorithm allowing Time Series Forecasting.

...Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. For example, in machine with 64GB, CRF# encodes model with more than 4.5 hundred million features quickly.

SVM# is a svm(support vector machine) classification implemented in C#. The project contains both train and predict modules.

Platform supporting machine learning on different objects by different modification of the JSM method (for now). Predicates for the JSM method are written in CLIPS.Objects and modification of the JSM method have to written on one of .NET languages.

A set of services to allow for polling remote sites for data, displaying it on the local machine requesting said data, and moving that data anywhere else it needs to go.

NSvm is a .Net Support Vector Machine library written in .Net. NSvm features the SMO algorithm, a few kernels (including ad hoc algorithms for linear kernels). The objectives of NSvm are simplicity, flexibility and extensibility.

OMLT (One More Lousy Translator) is designed to be an interlingual fully automatic machine translation system, capable of taking a source text in one natural language and converting it to any other language for which a module has been written.

The initial goal on Zigoora has been enabling people from different languages to communicate together. In other words, if you know another language additional to your mother tongue, then you can help somebody else understand and read in another language by translating just one sentence.