Uncertainty Modeling - Studies in Computational Intelligence
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Published By Springer International Publishing

9783319510514, 9783319510521

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Note to the Polemics Surrounding the Second Gödel’s Theorem

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_16 ◽

2017 ◽

pp. 273-275

Author(s):

Klimentij Samokhvalov

Keyword(s):

Gödel’S Theorem

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Relationships Between Probability and Possibility Theories

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_7 ◽

2017 ◽

pp. 97-122

Author(s):

Boris Kovalerchuk

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Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_11 ◽

2017 ◽

pp. 159-167

Author(s):

Hung T. Nguyen ◽

Vladik Kreinovich ◽

Olga Kosheleva ◽

Songsak Sriboonchitta

Keyword(s):

Quantile Regression

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Using Extended Tree Kernel to Recognize Metalanguage in Text

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_6 ◽

2017 ◽

pp. 71-96 ◽

Cited By ~ 2

Author(s):

Boris A. Galitsky

Keyword(s):

Tree Kernel

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A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_12 ◽

2017 ◽

pp. 169-191

Author(s):

Vesa A. Niskanen

Keyword(s):

Dimensionality Reduction ◽

Soft Computing ◽

Model Construction ◽

Computing Approach

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Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_8 ◽

2017 ◽

pp. 123-133 ◽

Cited By ~ 1

Author(s):

Vladik Kreinovich ◽

Hung T. Nguyen ◽

Songsak Sriboonchitta ◽

Olga Kosheleva

Keyword(s):

Central Limit Theorem ◽

Limit Theorem ◽

Central Limit ◽

Extreme Value ◽

The Central Limit Theorem ◽

Extreme Value Theorem

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Ontological Data Mining

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_17 ◽

2017 ◽

pp. 277-292

Author(s):

Evgenii Vityaev ◽

Boris Kovalerchuk

Keyword(s):

Data Mining

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Copula as a Bridge Between Probability Theory and Fuzzy Logic

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_15 ◽

2017 ◽

pp. 251-272

Author(s):

Germano Resconi ◽

Boris Kovalerchuk

Keyword(s):

Probability Theory ◽

Fuzzy Logic

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Applying Anomalous Cluster Approach to Spatial Clustering

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_10 ◽

2017 ◽

pp. 147-157 ◽

Cited By ~ 1

Author(s):

Susana Nascimento ◽

Boris Mirkin

Keyword(s):

Spatial Clustering ◽

Cluster Approach

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A Method of Introducing Weights into OWA Operators and Other Symmetric Functions

Uncertainty Modeling - Studies in Computational Intelligence ◽

10.1007/978-3-319-51052-1_3 ◽

2017 ◽

pp. 37-52 ◽

Cited By ~ 5

Author(s):

Gleb Beliakov

Keyword(s):

Symmetric Functions ◽

Owa Operators

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Uncertainty Modeling - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Note to the Polemics Surrounding the Second Gödel’s Theorem

Relationships Between Probability and Possibility Theories

Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation

Using Extended Tree Kernel to Recognize Metalanguage in Text

A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction

Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem

Ontological Data Mining

Copula as a Bridge Between Probability Theory and Fuzzy Logic

Applying Anomalous Cluster Approach to Spatial Clustering

A Method of Introducing Weights into OWA Operators and Other Symmetric Functions

Uncertainty Modeling - Studies in Computational Intelligence
Latest Publications