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| 001 | 978-3-031-33498-6 | ||
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_a9783031334986 _9978-3-031-33498-6 |
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_a10.1007/978-3-031-33498-6 _2doi |
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_aModeling Decisions for Artificial Intelligence _h[electronic resource] : _b20th International Conference, MDAI 2023, Umeå, Sweden, June 19-22, 2023, Proceedings / _cedited by Vicenç Torra, Yasuo Narukawa. |
| 250 | _a1st ed. 2023. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
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| 300 |
_aXX, 265 p. 44 illus., 25 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v13890 |
|
| 505 | 0 | _aLogic Aggregators and Their Implementations -- Decision making and uncertainty -- Multi-Target Decision Making under Conditions of Severe Uncertainty -- Constructive set function and extraction of a k-dimensional element -- Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain -- Discrete chain-based Choquet-like operators -- On a new generalization of decomposition integrals -- Bipolar OWA operators with continuous input function -- Machine Learning and data science -- Cost-constrained group feature selection using information theory -- Conformal Prediction for Accuracy Guarantees in Classification with Reject Option -- Adapting the Gini's index for solving Predictive Tasks -- Bayesian logistic model for positive and unlabeled data -- A goal-oriented specification language for reinforcement learning -- Improved Spectral Norm Regularization for NeuralNetworks -- Preprocessing Matters: Automated Pipeline Selection for Fair Classification -- Predicting Next Whereabouts using Deep Learning -- A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size -- Data privacy -- Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks -- Differential Privacy through Noise-Graph Addition. | |
| 520 | _aThis book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19-22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy. | ||
| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 700 | 1 |
_aTorra, Vicenç. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _992327 |
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| 700 | 1 |
_aNarukawa, Yasuo. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _992328 |
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_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v13890 _992330 |
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