Titlebook: Innovations in Intelligent Systems; Ajith Abraham,Lakhmi Jain,Berend Jan Zwaag Book 2004 Springer-Verlag Berlin Heidelberg 2004 Case-Based

Auditory-Nerve

書目名稱Innovations in Intelligent Systems影響因子(影響力)




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書目名稱Innovations in Intelligent Systems年度引用學(xué)科排名




書目名稱Innovations in Intelligent Systems讀者反饋




書目名稱Innovations in Intelligent Systems讀者反饋學(xué)科排名

dialect

Bayesian Control of Dynamic Systemsttern recognition. Although the parallels between dynamic Bayesian networks and description of dynamic systems by Kalman filters and difference equations are well known since many years, Bayesian networks have not been applied to problems in the area of adaptive control of dynamic systems..To show h

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Automated Case Selection from Databases Using Similarity-Based Rough Approximationerive representative cases automatically from larger, available databases rather than acquiring them from domain experts. Case selection is a branch of data mining that aims at choosing representative cases from large data sets for future case-based reasoning tasks. This chapter presents two algorit

Diastole

An Induction Algorithm with Selection Significance Based on a Fuzzy Derivativedescribe the influence of the change of one parameter on another. In this algorithm we generate sets of classification rules. We define a coefficient of significance for every single rule. This coefficient describes for a test example a degree of membership of the class predicted by the rule. A new

斷斷續(xù)續(xù)

Model and Fixpoint Semantics for Fuzzy Disjunctive Programs with Weak Similarityeral disjunctions. We shall suppose that truth values constitute a complete Boolean lattice . = (., ≤, ∪, ∩, ?, .). A graded strong literal disjunction is a pair (., .) where . is a strong literal disjunction of the form .. A graded disjunction can be understood as a means of the representation of i

CLAM

An Automated Report Generation Tool for the Data Understanding Phasel for automatically generating data survey reports for this purpose is described. Such a report is used as a starting point for data understanding, acts as documentation of the data, and can easily be redone if necessary. The main focus is on describing the cluster structure and the contents of the

Highbrow

Finding Trigonometric Identities with Tree Adjunct Grammar Guided Genetic Programmingproblem of finding trigonometric identities, and compare its performance with standard approaches. We analyze the fitness landscape of the problem, and gain some understanding of the relative performance of the standard and new representations.

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