Download JAR files tagged by hypothesis with all dependencies

Statistical hypothesis testing.

Statistical hypothesis tests based on Matrix data.

Translation utilities for mapping abstract hypothesis symbols to concrete SUL symbols

A learning algorithm, which distinguishes hypothesis states using a discrimination tree.

A learning algorithm, which distinguishes hypothesis states using a discrimination tree (visibly push-down automata variant).

This artifact provides the implementation of the DHC learning algorithm as described in the paper "Automata Learning with on-the-Fly Direct Hypothesis Construction" (https://doi.org/10.1007/978-3-642-34781-8_19) by Maik Merten, Falk Howar, Bernhard Steffen, and Tiziana Margaria.

The S-Space Package is a collection of algorithms for building Semantic Spaces as well as a highly-scalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors. This package also includes matrices, vectors, and numerous clustering algorithms. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics and rest upon the Distributional Hypothesis: words that appear in similar contexts have similar meanings.