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_aModeling Decisions for Artificial Intelligence _h[electronic resource] : _b21st International Conference, MDAI 2024, Tokyo, Japan, August 27-31, 2024, Proceedings / _cedited by Vicenç Torra, Yasuo Narukawa, Hiroaki Kikuchi. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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300 |
_aXIII, 252 p. 76 illus., 64 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14986 |
|
505 | 0 | _aInvited paper -- Taste Media Innovative Technology Transforms the Eating Experience -- Fuzzy measures and integrals -- An axiomatic definition of non discrete Mbius transform -- Fuzzy Rough Choquet Distances -- Uncertainty in AI -- Entropies from f divergences -- Comparative Study of Methods for Estimating Interval Priority Weights Focusing on the Accuracy in Selecting the Best Alternative -- Clustering -- Sequential Cluster Extraction by Noise Clustering Based on Local Outlier Factor -- On Objective Based Clustering from the Perspective of Transportation Problem -- Data science and data privacy -- Decision Tree Based Inference of Lightning Network Client Implementations -- nuggets Data Pattern Extraction Framework in R -- User centred Argumentation Analysis of Local Explanations in Explainable AI -- Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification -- Bistochastically private release of data streams with delay -- Differentially Private Extreme Learning Machine -- Studying the impact of edge privacy on link prediction in temporal graphs -- Dissimilar Similarities Comparing Human and Statistical Similarity Evaluation in Medical AI -- On the necessity of counterfeits and deletions for continuous data publishing -- A Poisoning-Resilient LDP schema leveraging Oblivious Transfer with the Hadamard Transform -- Experimental Evaluation for Risk Assessment of Privacy Preserving Synthetic Data -- Transforming Stock Price Forecasting Deep Learning Architectures and Strategic Feature Engineering. | |
520 | _aThis book constitutes the refereed proceedings of the 21st International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2024, held in Umeå, Sweden, during August 27-30, 2024. The 18 full papers were carefully reviewed and selected from 37 submissions. There were organized in topical headings as follows: Fuzzy measures and integrals; uncertainty in AI; clustering; and data science and data privacy. | ||
541 |
_fUABC ; _cPerpetuidad |
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650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputer systems. | |
650 | 0 | _aComputer networks . | |
650 | 0 | _aData structures (Computer science). | |
650 | 0 | _aInformation theory. | |
650 | 0 | _aComputer science. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aComputer System Implementation. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aData Structures and Information Theory. |
650 | 2 | 4 | _aTheory of Computation. |
700 | 1 |
_aTorra, Vicenç. _eeditor. _0(orcid)0000-0002-0368-8037 _1https://orcid.org/0000-0002-0368-8037 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aNarukawa, Yasuo. _eeditor. _0(orcid)0000-0001-9928-1444 _1https://orcid.org/0000-0001-9928-1444 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aKikuchi, Hiroaki. _eeditor. _0(orcid)0000-0002-0903-8430 _1https://orcid.org/0000-0002-0903-8430 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031682070 |
776 | 0 | 8 |
_iPrinted edition: _z9783031682094 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v14986 |
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_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-68208-7 |
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