This study reports on the development of a diagnostic expert system – incorporating a multilayer perceptron (MLP) – designed to identify any sub-type of dysarthria (loss of neuromuscular control over the articulators) manifested by a patient undergoing a Frenchay Dysarthria Assessment (FDA) evaluation. If sufficient information is provided describing pathological features of the patient’s speec...

How should opinions of control knowledge sources be represented and combined? These issues are addressed for the case where control knowledge is used to form an agenda, i.e., a proposed knowledge source execution order. A formal model is developed in the Dempster/Shafer belief calculus and computational problems are discussed as well. The model is applicable to many other problems where it is d...

Terminological reasoning systems directly support the abstraction mechanisms generalization and classification. But they do not bother about aggregation and have some problems with reasoning demands such as concrete domains, sequences of finite but unbounded size and derived attributes. The paper demonstrates the relevance of these issues in an analysis of a mechanical engineering application a...

Rule-based and case-based reasoning are two popular approaches used in intelligent systems. Rules usually represent general knowledge, whereas cases encompass knowledge accumulated from specific (specialized) situations. Each approach has advantages and disadvantages, which are proved to be complementary in a large degree. So, it is well-justified to combine rules and cases to produce effective...

In this paper we discuss a heuristically control led approach to combining reasoning w i th cases and reasoning w i th rules. Our task is interpretat ion of under-defined terms that occur in legal statutes (like the Internal Revenue Code) where certain terms must be applied to part icular cases even though their meanings are not defined by the statute and the statutory rules are unclear as to s...

This paper describes RAPTURE a system for revising probabilistic knowledge bases that combines neural and symbolic learning methods. RAPTURE uses a modified version of backpropagation to refine the certainty factors of a MYCIN-style rule base and uses ID3's information gain heuristic to add new rules. Results on refining two actual expert knowledge bases demonstrate that this combined approach ...

Pedro Domingos Sec. Sistemas, Dept. Eng. Mecfiafica Instituto Superior T6cnico Av. Rovisco Pais Lisbon 1096, Portugal pedrod~gia.ist.utl.pt http://www.gia.ist.utl.pt/~pedrod Multimodal inductive reasoning is the combination of multiple learning paradigms in a single system. This article describes RISE, a combination of rule induction and case-based (or instance-based) learning, and uses experim...

In this paper, we present an investigation into the combination of rules for text categorization using Dempster’s rule of combination. We first propose a boosting-like technique for generating multiple sets of rules based on rough set theory, and then describe how to use Dempster’s rule of combination to combine the classification decisions produced by multiple sets of rules. We apply these met...

Probabilistic logic programs without negation can have cycles (with a preference for false), but cannot represent all conditional distributions. Probabilistic logic programs with negation can represent arbitrary conditional probabilities, but with cycles they create logical inconsistencies. We show how allowing negative noise probabilities allows us to represent arbitrary conditional probabilit...

In this study, we introduce a new approach to combine multi-classifiers in an ensemble system. Instead of using numeric membership values encountered in fixed combining rules, we construct interval membership values associated with each class prediction at the level of meta-data of observation by using concepts of information granules. In the proposed method, uncertainty (diversity) of findings...