In this paper we develop likelihood-based finite sample inference based on singly imputed partially synthetic data, when the original data follow either a multivariate normal or a multiple linear regression model. We assume that the synthetic data are generated by using the plug-in sampling method, where unknown parameters in the data model are set equal to observed values of their point estima...

This paper describes a framework for combining and assessing subjective evidence from different sources. The approach is based on the DempsterShafer belief theory, but instead of using Dempster’s rule we introduce a new rule called the consensus operator that is based on statistical inference. We show how this framework can be applied to subjective evidential reasoning.

We have proposed a real-time system for vehicle lights detection. This goal has been achieved by combining together a rule-based approach and a temporal tracking system.

one-third of the people with an age over twenty have some signs of degenerated discs. however, in most of the patients the mere presence of degenerative discs is not a problem leading to pain, neurological compression, or other symptoms. this paper presents an interval type-2 fuzzy hybrid rule-based system to diagnose the abnormal degenerated discs where pain variables are represented by interv...

We discuss theoretical aspects of the product rule for classification problems in supervised machine learning for the case of combining classifiers. We show that (1) the product rule arises from the MAP classifier supposing equivalent priors and conditional independence given a class; (2) under some conditions, the product rule is equivalent to minimizing the sum of the squared distances to the...

One of the new research fields in plasticity is related to choosing a proper non-associated flow rule (NAFR), instead of the associated one (AFR), to predict the experimental results more accurately. The idea of the current research is derived from combining von Mises and Tresca criteria in the places of yield and plastic potential surfaces in rate-independent plasticity.  This idea is implemen...

The aim of the paper is to shown that in practice, the Cold Heat diagnosis of Vietnamese Traditional Medicine is better to combining positive and negative knowledge. Based on text book and experiences of Traditional medicine practitioner we build the knowledge base combining positive knowledge and negative knowledge for Cold Heat diagnosis. Then we use the FuzzRESS A Fuzzy Rule-based Expert Sys...

Slot synchronization is a critical step for fast and reliable cell search in intercell asynchronous direct sequence-code division multiple access systems. To increase reliability, observations over a number of slots may be combined. In this paper, combining schemes of multiple observations are studied for slot synchronization. The optimal combining rule is determined based on detection theory. ...

Hybrid RANS/LES models, capable of transitioning through arbitrary levels modeled and resolved turbulence, aim to ameliorate both RANS deficiencies LES expense. We propose a method combining active forcing the flow field, where appropriate, with splitting standard single turbulence model into separate responsible for either unresolved stress or dissipation, which adapts that $i\phantom{\rule{0}...

Ensembles are a set of classification models that, when combined, produce better predictions than when used by themselves. This chapter proposes a new evolutionary algorithm-based method for creating an ensemble of rule sets consisting of two stages. First, an evolutionary algorithm (more precisely, a genetic programming algorithm) is used to automatically create complete rule induction algorit...