Source: EUSIPCO 2024-32nd European signal processing conferenceEUSIPCO 2024-32nd European signal processing conference, Patrice Abry; Maria Sabrina Greco, Aug 2024, Lyon, France

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Inference of Tree-Structured Auto-Regressive Models of Gene Expression Parameters from Generation-Snapshot Data

Authors : Reginato, Emrys; Marguet, Aline; Cinquemani, Eugenio ...

Subjects: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]; [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST]

Source: Proceedings of the 22nd European Control ConferenceECC 2024-22nd European Control ConferenceECC 2024-22nd European Control Conference, Jun 2024, Stockholm, Sweden. pp.1-8

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An Inference Method for Global Sensitivity Analysis

Authors : Gildas Mazo; Laurent Tournier;

Subjects: inference; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; higher order interaction effect

Source: TechnometricsTechnometrics, 2024, ⟨10.1080/00401706.2024.2431113⟩

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Generalization Bounds: Perspectives from Information Theory and PAC-Bayes

Authors : Hellström, Fredrik; Durisi, Giuseppe; Guedj, Benjamin ...

Subjects: FOS: Computer and information sciences; Computer Science - Machine Learning; Computer Science - Artificial Intelligence

Source: Foundations and Trends® in Machine Learning. 18:1-223

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MAXIMIZING REGIONAL SENSITIVITY ANALYSIS INDICES TO FIND SENSITIVE MODEL BEHAVIORS

Authors : Roux, Sébastien; Loisel, Patrice; Buis, Samuel ...

Subjects: [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; Cluster-based GSA; Target sensitivity analysis

Source: International Journal for Uncertainty QuantificationInternational Journal for Uncertainty Quantification, 2025, 15 (1), pp.47-60. ⟨10.1615/Int.J.UncertaintyQuantification.2024051424⟩

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Almost exact recovery in noisy semi-supervised learning

Authors : Avrachenkov, Konstantin; Dreveton, Maximilien;

Subjects: FOS: Computer and information sciences; [MATH.MATH-PR] Mathematics [math]/Probability [math.PR]; Computer Science - Machine Learning

Source: Probability in the Engineering and Informational SciencesProbability in the Engineering and Informational Sciences, 2024, pp.1-22. ⟨10.1017/s0269964824000135⟩

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Teaching Tools to Enhance Student Engagement in Higher Education

Authors : Chamoun-Nicolas, Habib; Rabadán Pérez, Francisco; Ramirez Muñoz, Maria Victoria ...

Subjects: Educational success; Statistical methods; [SHS.SOCIO] Humanities and Social Sciences/Sociology

Source: Multidisciplinary Journal of School Education; Vol. 13 No. 2 (26) (2024): Teacher and Technology; 351-372Multidisciplinary Journal of School Education; Tom 13 Nr 2 (26) (2024): Teacher and

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فلترة النتائج

Some Asymptotic Regimes for Quantile Estimation

Straightforward Phase I Dose-Finding Design for Healthy Volunteers Accounting for Surrogate Activity Biomarkers

DATA SCIENCE APPROACHES FOR THE EXPLORATION OF CIRCUMSTELLAR ENVIRONMENTS IN HIGH-CONTRAST AND HIGH-ANGULAR RESOLUTION IMAGING

On the Stability of Reduced-Rank Ridge Regression

Inference of Tree-Structured Auto-Regressive Models of Gene Expression Parameters from Generation-Snapshot Data

An Inference Method for Global Sensitivity Analysis

Generalization Bounds: Perspectives from Information Theory and PAC-Bayes

MAXIMIZING REGIONAL SENSITIVITY ANALYSIS INDICES TO FIND SENSITIVE MODEL BEHAVIORS

Almost exact recovery in noisy semi-supervised learning

Teaching Tools to Enhance Student Engagement in Higher Education

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