Search Results for author: Mieczysław Kłopotek

Found 8 papers, 0 papers with code

Mathematical Theory of Evidence Versus Evidence

no code implementations9 Nov 2018 Mieczysław Kłopotek

Weaknesses of Shafer's proposal \cite{Shafer:90b} of probabilistic interpretation of MTE belief functions is demonstrated.

Reasoning From Data in the Mathematical Theory of Evidence

no code implementations9 Nov 2018 Mieczysław Kłopotek

In this paper we develop a frequentist model of the MTE bringing to fall the above argument against MTE.

Learning Belief Network Structure From Data under Causal Insufficiency

no code implementations29 May 2017 Mieczysław Kłopotek

Fortunately, if we deal with causally sufficient sets of variables (that is whenever significant influence variables are not omitted from observation), then there exists the possibility to identify the family of belief networks a causal network belongs to [16].

Open-Ended Question Answering

Recovery of structure of looped jointed objects from multiframes

no code implementations2 May 2017 Mieczysław Kłopotek

A method to recover structural parameters of looped jointed objects from multiframes is being developed.

Dempster-Shafer Belief Function - A New Interpretation

no code implementations13 Apr 2017 Mieczysław Kłopotek

We develop our interpretation of the joint belief distribution and of evidential updating that matches the following basic requirements: * there must exist an efficient method for reasoning within this framework * there must exist a clear correspondence between the contents of the knowledge base and the real world * there must be a clear correspondence between the reasoning method and some real world process * there must exist a clear correspondence between the results of the reasoning process and the results of the real world process corresponding to the reasoning process.

Transferrable Plausibility Model - A Probabilistic Interpretation of Mathematical Theory of Evidence

no code implementations6 Apr 2017 Mieczysław Kłopotek

This paper suggests a new interpretation of the Dempster-Shafer theory in terms of probabilistic interpretation of plausibility.

On the Discrepancy Between Kleinberg's Clustering Axioms and $k$-Means Clustering Algorithm Behavior

no code implementations15 Feb 2017 Robert Kłopotek, Mieczysław Kłopotek

This paper investigates the validity of Kleinberg's axioms for clustering functions with respect to the quite popular clustering algorithm called $k$-means.

Clustering valid

On Seeking Consensus Between Document Similarity Measures

no code implementations13 Feb 2017 Mieczysław Kłopotek

This paper investigates the application of consensus clustering and meta-clustering to the set of all possible partitions of a data set.

Clustering

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