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Modeling decisions for artificial in...
~
(1998 :)
Modeling decisions for artificial intelligence18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modeling decisions for artificial intelligenceedited by Vicenc Torra, Yasuo Narukawa.
Reminder of title:
18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /
remainder title:
MDAI 2021
other author:
Torra, Vicenc.
corporate name:
Published:
Cham :Springer International Publishing :2021.
Description:
xiii, 347 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligenceCongresses.Mathematical models
Online resource:
https://doi.org/10.1007/978-3-030-85529-1
ISBN:
9783030855291$q(electronic bk.)
Modeling decisions for artificial intelligence18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /
Modeling decisions for artificial intelligence
18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /[electronic resource] :MDAI 2021edited by Vicenc Torra, Yasuo Narukawa. - Cham :Springer International Publishing :2021. - xiii, 347 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,128980302-9743 ;. - Lecture notes in computer science ;4891..
Invited Papers -- Andness-Directed Iterative OWA Aggregators -- New Eliahou semigroups and verification of the Wilf conjecture for genus up to 65 -- Are Sequential Patterns Shareable? Ensuring Individuals' Privacy -- Aggregation Operators and Decision Making -- On Two Generalizations for k-additivity -- Sequential decision-making using hybrid probability-possibility functions -- Numerical comparison of idempotent andness-directed aggregators -- Approximate Reasoning -- Multiple testing of conditional independence hypotheses using information-theoretic approach -- A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty -- How the F-transform can be defined for hesitant, soft or intuitionistic fuzzy sets? Enhancing social recommenders with implicit preferences and fuzzy confidence functions -- A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems -- Machine Learning -- Mass-based Similarity Weighted k-Neighbor for Class Imbalance -- Multinomial-based Decision Synthesis of ML Classification Outputs -- Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems -- Evidential undersampling approach for imbalanced datasets with class-overlapping and noise -- Well-Calibrated and Sharp Interpretable Multi-Class Models -- Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering -- q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data -- Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning -- Network Clustering with Controlled Node Size -- Data Science and Data Privacy -- Fair-ly Private Through Group Tagging and Relation Impact -- MEDICI: A simple to use synthetic social network data generator -- Answer Passage Ranking Enhancement Using Shallow Linguistic Features -- Neural embedded Dirichlet Processes for topic modeling -- Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts -- Explaining Image Misclassification in Deep Learning via Adversarial Examples -- Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control --.
ISBN: 9783030855291$q(electronic bk.)
Standard No.: 10.1007/978-3-030-85529-1doiSubjects--Topical Terms:
443739
Artificial intelligence
--Mathematical models--Congresses.
LC Class. No.: Q334.M43 / M43 2021
Dewey Class. No.: 006.3
Modeling decisions for artificial intelligence18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /
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18th International Conference, MDAI 2021, Umea, Sweden, September 27-30, 2021 : proceedings /
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edited by Vicenc Torra, Yasuo Narukawa.
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Invited Papers -- Andness-Directed Iterative OWA Aggregators -- New Eliahou semigroups and verification of the Wilf conjecture for genus up to 65 -- Are Sequential Patterns Shareable? Ensuring Individuals' Privacy -- Aggregation Operators and Decision Making -- On Two Generalizations for k-additivity -- Sequential decision-making using hybrid probability-possibility functions -- Numerical comparison of idempotent andness-directed aggregators -- Approximate Reasoning -- Multiple testing of conditional independence hypotheses using information-theoretic approach -- A Bayesian Interpretation of the Monty Hall Problem with Epistemic Uncertainty -- How the F-transform can be defined for hesitant, soft or intuitionistic fuzzy sets? Enhancing social recommenders with implicit preferences and fuzzy confidence functions -- A Necessity Measure of Fuzzy Inclusion Relation in Linear Programming Problems -- Machine Learning -- Mass-based Similarity Weighted k-Neighbor for Class Imbalance -- Multinomial-based Decision Synthesis of ML Classification Outputs -- Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems -- Evidential undersampling approach for imbalanced datasets with class-overlapping and noise -- Well-Calibrated and Sharp Interpretable Multi-Class Models -- Automated Attribute Weighting Fuzzy k-Centers Algorithm for Categorical Data Clustering -- q-Divergence Regularization of Bezdek-Type Fuzzy Clustering for Categorical Multivariate Data -- Automatic Clustering of CT Scans of COVID-19 Patients Based on Deep Learning -- Network Clustering with Controlled Node Size -- Data Science and Data Privacy -- Fair-ly Private Through Group Tagging and Relation Impact -- MEDICI: A simple to use synthetic social network data generator -- Answer Passage Ranking Enhancement Using Shallow Linguistic Features -- Neural embedded Dirichlet Processes for topic modeling -- Density-Based Evaluation Metrics in Unsupervised Anomaly Detection Contexts -- Explaining Image Misclassification in Deep Learning via Adversarial Examples -- Towards Machine Learning-Assisted Output Checking for Statistical Disclosure Control --.
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based on 0 review(s)
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EB Q334.M43 M689 2021
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