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Publication search results
found 154 matches
- 2024
- Lorenzo Valleggi
, Marco Scutari, Federico Mattia Stefanini
:
Learning Bayesian networks with heterogeneous agronomic data sets via mixed-effect models and hierarchical clustering. Eng. Appl. Artif. Intell. 131: 107867 (2024) - Jiawei Liu, Xiufeng Li, Yixin Zhang, Tao Li, Liping Wei, Wei Wu
:
Failure risk assessment by multi-state dynamic Bayesian network based on interval type-2 fuzzy sets and leaky-weighted sum algorithm: A case study of crude oil pipelines. Expert Syst. Appl. 250: 123942 (2024) - Wentao Ma, Zhiping Chen
:
Multi-stage distributionally robust convex stochastic optimization with Bayesian-type ambiguity sets. Math. Methods Oper. Res. 100(2): 553-600 (2024) - Kwang-Sung Jun, Jungtaek Kim:
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization. ICML 2024 - Kwang-Sung Jun, Jungtaek Kim:
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization. CoRR abs/2402.07341 (2024) - Benjamin Dupuis, Paul Viallard, George Deligiannidis
, Umut Simsekli:
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets. CoRR abs/2404.17442 (2024) - Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas:
Distributionally Robust Optimisation with Bayesian Ambiguity Sets. CoRR abs/2409.03492 (2024) - Charita Dellaporta, Patrick O'Hara, Theodoros Damoulas:
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets. CoRR abs/2411.16829 (2024) - 2023
- Mohammed Knaiber
, Leen Alawieh
:
Bayesian inference using an adaptive neuro-fuzzy inference system. Fuzzy Sets Syst. 459: 43-66 (2023) - Hassan A. AlSattar
, Sarah Qahtan
, Nahia Mourad
, A. A. Zaidan, Muhammet Deveci, Chiranjibe Jana
, Weiping Ding:
Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for developing sustainable smart living framework. Inf. Sci. 649: 119681 (2023) - Jacques Wainer:
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets. J. Mach. Learn. Res. 24: 341:1-341:34 (2023) - Yohan Jung, Jinkyoo Park:
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. AISTATS 2023: 3795-3824 - Samuel Stanton, Wesley J. Maddox, Andrew Gordon Wilson:
Bayesian Optimization with Conformal Prediction Sets. AISTATS 2023: 959-986 - Jana Pavlasek, Stanley Robert Lewis, Balakumar Sundaralingam, Fabio Ramos, Tucker Hermans:
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference. CoRL 2023: 3672-3686 - Lorenzo Valleggi, Marco Scutari, Federico Mattia Stefanini:
Learning Bayesian Networks with Heterogeneous Agronomic Data Sets via Mixed-Effect Models and Hierarchical Clustering. CoRR abs/2308.06399 (2023) - 2022
- Laura Azzimonti
, Giorgio Corani, Marco Scutari
:
A Bayesian hierarchical score for structure learning from related data sets. Int. J. Approx. Reason. 142: 248-265 (2022) - Jintao Xu, Rui Ding, Muye Li, Tao Dai, Mengyan Zheng, Tao Yu, Yang Sui:
A new Bayesian network model for risk assessment based on cloud model, interval type-2 fuzzy sets and improved D-S evidence theory. Inf. Sci. 618: 336-355 (2022) - Fatma Yasli
, Bersam Bolat:
A novel risk analysis approach for occupational safety using Bayesian Network and interval type-2 fuzzy sets: the case of underground mining. J. Intell. Fuzzy Syst. 42(1): 265-282 (2022) - Fabio S. Ferreira, Ágoston Mihalik
, Rick A. Adams
, John Ashburner, Janaina Mourão Miranda:
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. NeuroImage 249: 118854 (2022) - Marco Scutari, Christopher Marquis, Laura Azzimonti
:
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets. PGM 2022: 73-84 - Ege Özkoç, Yesim Serinagaoglu Dogrusöz:
Bayesian MAP solution of the Inverse ECG problem with Sinus Rhythm Data: Evaluation of Simulated Training Sets. SIU 2022: 1-4 - Jinwoo Go, Tobin Isaac:
Robust expected information gain for optimal Bayesian experimental design using ambiguity sets. UAI 2022: 728-737 - Jinwoo Go, Tobin Isaac:
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets. CoRR abs/2205.09914 (2022) - Marco Scutari, Christopher Marquis, Laura Azzimonti
:
Using Mixed-Effect Models to Learn Bayesian Networks from Related Data Sets. CoRR abs/2206.03743 (2022) - Jacques Wainer:
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets. CoRR abs/2208.04935 (2022) - Yohan Jung, Jinkyoo Park:
Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior. CoRR abs/2210.12363 (2022) - Alexandre Rodrigues Mesquita:
Robust Bayesian Subspace Identification for Small Data Sets. CoRR abs/2212.14132 (2022) - 2021
- Panrawee Rungskunroch
, Anson Jack, Sakdirat Kaewunruen
:
Benchmarking on railway safety performance using Bayesian inference, decision tree and petri-net techniques based on long-term accidental data sets. Reliab. Eng. Syst. Saf. 213: 107684 (2021) - Tinkle Chugh, Manuel López-Ibáñez:
Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets. GECCO Companion 2021: 1326-1334 - Fabio S. Ferreira, Ágoston Mihalik, Rick A. Adams, John Ashburner, Janaina Mourão Miranda:
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets. CoRR abs/2103.06845 (2021)
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