Search Results for "inference" - Page 3

pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.

The Pattern Analysis Library (PALib) is a C++ class library for pattern classification/recognition. PALib consists of a wide range of machine learning routines such as Bayesian decision theory, artificial neural networks, and fuzzy inference systems.

mbFuzzIT enables the work with Fuzzy technology (fuzzy inference / fuzzy logic) in Java. In order to facilitate the creation of the inference mechanisms, mbFuzzIT containts a visual editor.

Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)

RuleWorks is a rules-based application development tool providing the convenience of cross-platform development combined with one of the most powerful high level rules-based languages and fastest inference engine.

RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.

Hotstop is scientific software that allows to extract experimental ion stopping force curves from RBS spectra (as well as to stimate uncertainities) It uses Simulated Annealing and Bayesian Inference algorithms.

This project provides an "embedded expert system", i.e. a limited ability inference engine, with a demo rule set, taken from the field of X-ray Photoelectron Spectroscopy.

HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.

In Green Cloud here is a central global server which does the work of global database management along with providing complex analysis services for the users (farmers, scientists) through the client machines and the public access web portal. The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server. The meteorological servers can be accessed for climate data.This server-client architecture mandatory in present and even near-future circumstances as the client machine has to be low-power and low-cost for the feasibility of the system in Indian context. Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server. ...