METHOD AND APPARATUS FOR USING BAYESIAN NETWORKS FOR LOCALIZATION

Patent №

US 7,937,339

Granted

2011-05-03

Filed 2009

Owner

RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY

Lab

AI components

2

ml · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12442456

The invention is a technique for performing sampling in connection with Markov Chain Monte Carlo simulations in which no attempt is made to limit the selected samples to a selected slice of the entire sample domain, as is typical in Markov Chain Monte Carlo sampling. Rather, samples are taken from the entire domain and any samples that fall below a randomly selected probability density level are discarded.

Machine learningEvolutionary computationH04L 41/12G06N 7/01H04L 41/16H04L 41/142

AI classification

Machine learning1.00
Evolutionary computation0.99
AI hardware0.37
Knowledge representation0.09
Vision0.05
Planning0.01
Speech0.00
Natural language0.00

Ownership

RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY

assignment · 229300968

Assignors

MARTIN, RICHARD, KLEISOURIS, KONSTANTINOS

On an employer assignment, the assignors are typically the inventors.

From the same owner

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