Search Results for "robust"

Analysis and display software targeted at space physics data. Installation instructions are at the bottom of the FILES directory. See documentation at https://qsas.sourceforge.io/QSAShelp/QSAS_help_index.html See also QSAS_Intro_June2018.pptx under FILES Contact: qsassupp@gmail.com E-Mail lists: qsas-users@lists.sourceforge.net qsas-discuss@lists.sourceforge.net

RDRPOSTagger is a robust, easy-to-use and language-independent rule-based toolkit for Part-of-Speech (POS) and morphological tagging. RDRPOSTagger obtains fast performance in both learning and tagging process. RDRPOSTagger also achieves a very competitive accuracy in comparison to the state-of-the-art results. RDRPOSTagger now supports pre-trained POS and morphological tagging models for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai and Vietnamese. ...

The goal of the project is the creation of new mechanisms for supporting users in the evaluation of Web content credibility and improvement of the quality of Web content credibility evaluation. Our society increasingly relies on the vast amount of information available on the Internet. As a consequence, the issue of judging or evaluating the credibility of this information becomes of crucial importance. Thus, algorithms and mechanisms for the assessment of credibility of Web content can...

This is the prototype version of software for robust detecting and segmentation of cell nuclei in 3D fluorescence labeled microscopy images. First release coming soon...

JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.

Implematation of robust depth-based inference tools for microarray data (a scale curve, to measure the dispersion of a set of curves, a rank test to decide if two groups of curves come from the same population, and classification techniques).

This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.

SENTENSA Knowledge Miner is a platform independent tool for searching any text. SENTENSA uses robust methods of indexing and searching text, leveraging on experience from more than 20 years of information retrieval.

Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.