An efficient triplet-based algorithm for evidential reasoning

An Efficient Triplet-based Algorithm for Evidential Reasoning

Linear-time computational techniques have been developed for combining evidence which is available on a number of contending hypotheses. They offer a means of making the computation-intensive calculations involved more efficient in certain circumstances. Unfortunately, they restrict the orthogonal sum of evidential functions to the dichotomous structure − applies only to elements and their comp...

An Evidential Reasoning Framework for Object Tracking

Object tracking consists of reconstructing the configuration of an articulated body from a sequence of images provided by one or more cameras. In this paper we present a general method for pose estimation based on the evidential reasoning. The proposed framework integrates different levels of description of the object to improve robustness and precision, overcoming the limitations of approaches...

Dynamic evidential reasoning algorithm for systems reliability prediction

Evidential Reasoning

We consider the problem of inference on the basis of observations. Suppose Alice has two coins, F (with probability 1/2 of landing heads) and B (with probability 3/4 of landing heads). She chooses a coin, tosses it, and it lands heads. How likely was the coin to be F? How likely was it to be B? Suppose she tosses the coin 100 times, and it lands heads every time. How likely was it to be F? How ...

Evidential Reasoning for Forensic Readiness

To learn from the past, we analyse 1,088 “computer as a target” judgments for evidential reasoning by extracting four case elements: decision, intent, fact, and evidence. Analysing the decision element is essential for studying the scale of sentence severity for cross-jurisdictional comparisons. Examining the intent element can facilitate future risk assessment. Analysing the fact element can e...