
...this paper reviews algorithms for local computationwith imprecise probabilities. these algorithms try tosolve problems of inference (calculation of conditionalor unconditional probabilities) in cases in which thereare...maintypes depending on the nature of assumed independencerelationships in each case. in both of them theglobal knowledge is composed of several pieces of localinformation. the objective is to...

...this paper deals with algorithms for efficient calculations with impreciseprobabilities. all of them are based on local computation techniques.the algorithms are classified according to the...contributions in the field are reviewed. someholes in the structure (the case of weak independence) are filled bydesigning the appropriate algorithms.1 introductionthis paper reviews algorithms... ...

...which prove to be capable of reducing estimation bias as a source of variable selection bias. a review on applications in gene expression...terminal pruning. the exten sion of classiflcation trees as credal classiflers based on imprecise probabilities by abellan and moral (2005) establishes a more sensitive means of classiflcation, which is not as...

...research into representation and calibration of imprecise probabilities in quantitative risk analysis simulations. imprecise probability is used a generic term for any mathematical model which measures...language will facilitate the development of efficient algorithms for expressing, computing, and calibrating imprecise probability structures. computation with imprecise probability structures will lead to quantitative...
Published in 2007.

...in this paper, we consider imprecise probabilities (e.g. intervals of probabilities) to express explicitly the precision with which something is known. imprecision can arise from fundamental indeterminacy...valuable to explicitly represent this imprecision by using imprecise probabilities. this hypothesis is supported with a computational experiment in which a pressure vessel is designed using...

...is to lay the groundwork for a radical enlargement of the role of natural languages in probability theory and its applications, especially...other constructs, and generalized constraint propagation is employed as a mechanism for reasoning with imprecise probabilities as well as for computation with perceptionbased information...

...this talk will review the basic notions of imprecise probability following walley’s theory [1] and...usually have considered precise bayesian probabilities [2]. first approaches to imprecision were robustness studies:
analysis of the sensibility of the outputs to variations of network parameters [3,4]. however...

...considerably less attention. the objective of this thesis is to investigate methods for managing uncertainty during the formulation phase of engineering design decisions, focusing on...to identify the fundamental characteristics of uncertainty in the context of engineering design, and hypothesizes that subjective, imprecise probabilities are more general and appropriate...

...detection strategy is based on a label propagation algorithm (lpa) which uses the diffusion of information in the network to identify communities. studies of lpas showed that the strategy...in this paper, we present a semisynchronous version of lpa which aims to combine the advantages of both synchronous and asynchronous models...

...effects. markov decision processes with imprecise probabilities (mdpips) encode sequences of decisions whose effects are modeled using sets of probability dis tributions. in this paper...programming. we discuss the application of our algorithms to "factored" models and to a recent proposal, markov decision processes...
Published in 2007.