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Publication search results
found 47 matches
- 2024
- Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki:
Approximate Leave-one-out Cross Validation for Regression with ℓ1 Regularizers. AISTATS 2024: 2377-2385 - Joshua C. Chang, Xiangting Li, Shixin Xu, Hao-Ren Yao, Julia Porcino, Carson C. Chow:
Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models. CoRR abs/2402.08151 (2024) - 2022
- Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky:
Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties. CoRR abs/2206.08841 (2022) - Benny Avelin, Lauri Viitasaari:
Concentration inequalities for leave-one-out cross validation. CoRR abs/2211.02478 (2022) - 2021
- Paul-Christian Bürkner, Jonah Gabry, Aki Vehtari:
Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models. Comput. Stat. 36(2): 1243-1261 (2021) - Naoki Okamoto, Hiroyuki Akama:
Extended Invariant Information Clustering Is Effective for Leave-One-Site-Out Cross-Validation in Resting State Functional Connectivity Modeling. Frontiers Neuroinformatics 15: 709179 (2021) - Sajeev Kunjan, Tyler S. Grummett, Kenneth J. Pope, David M. W. Powers, Sean P. Fitzgibbon, T. Bastiampillai, M. Battersby, Trent W. Lewis:
The Necessity of Leave One Subject Out (LOSO) Cross Validation for EEG Disease Diagnosis. BI 2021: 558-567 - Alexey Morozov, Brian Angulo, Vadim Mottl, Alexander Tatarchuk, Olga Krasotkina:
Differential Leave-One-Out Cross-Validation for Feature Selection in Generalized Linear Dependence Models. ITCC 2021: 47-56 - Yu-Hang Tang, Yuanran Zhu, Wibe A. de Jong:
Detecting Label Noise via Leave-One-Out Cross-Validation. CoRR abs/2103.11352 (2021) - 2020
- Davoud Gholamiangonabadi, Nikita Kiselov, Katarina Grolinger:
Deep Neural Networks for Human Activity Recognition With Wearable Sensors: Leave-One-Subject-Out Cross-Validation for Model Selection. IEEE Access 8: 133982-133994 (2020) - Michiel Stock, Tapio Pahikkala, Antti Airola, Willem Waegeman, Bernard De Baets:
Algebraic shortcuts for leave-one-out cross-validation in supervised network inference. Briefings Bioinform. 21(1): 262-271 (2020) - Måns Magnusson, Aki Vehtari, Johan Jonasson, Michael Riis Andersen:
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data. AISTATS 2020: 341-351 - Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki:
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. AISTATS 2020: 4067-4077 - Bo Zhang, Xianyuan Huang, Long Fan, Guobin Chang:
Sparseness of the LS-SVM algorithm based on the leave one out cross validation method with Multibeam data. EITCE 2020: 253-257 - Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki:
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. CoRR abs/2003.01770 (2020) - Ryan Burn:
Optimizing Approximate Leave-one-out Cross-validation to Tune Hyperparameters. CoRR abs/2011.10218 (2020) - 2019
- Måns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari:
Bayesian leave-one-out cross-validation for large data. ICML 2019: 4244-4253 - Måns Magnusson, Michael Riis Andersen, Johan Jonasson, Aki Vehtari:
Bayesian leave-one-out cross-validation for large data. CoRR abs/1904.10679 (2019) - 2018
- Cuili Yang, Xinxin Zhu, Zohaib Ahmad, Lei Wang, Junfei Qiao:
Design of Incremental Echo State Network Using Leave-One-Out Cross-Validation. IEEE Access 6: 74874-74884 (2018) - 2017
- Aki Vehtari, Andrew Gelman, Jonah Gabry:
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat. Comput. 27(5): 1413-1432 (2017) - Aki Vehtari, Andrew Gelman, Jonah Gabry:
Erratum to: Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC. Stat. Comput. 27(5): 1433 (2017) - Leave-One-Out Cross-Validation. Encyclopedia of Machine Learning and Data Mining 2017: 744
- 2016
- Zhifei Shao, Meng Joo Er:
Efficient Leave-One-Out Cross-Validation-based Regularized Extreme Learning Machine. Neurocomputing 194: 260-270 (2016) - Aki Vehtari, Tommi Mononen, Ville Tolvanen, Tuomas Sivula, Ole Winther:
Bayesian Leave-One-Out Cross-Validation Approximations for Gaussian Latent Variable Models. J. Mach. Learn. Res. 17: 103:1-103:38 (2016) - Jingxiang Zhang, Shitong Wang:
A fast leave-one-out cross-validation for SVM-like family. Neural Comput. Appl. 27(6): 1717-1730 (2016) - Zhifei Shao, Meng Joo Er, Ning Wang:
An Efficient Leave-One-Out Cross-Validation-Based Extreme Learning Machine (ELOO-ELM) With Minimal User Intervention. IEEE Trans. Cybern. 46(8): 1939-1951 (2016) - 2015
- Christel Rushing, Anuradha Bulusu, Herbert I. Hurwitz, Andrew B. Nixon, Herbert Pang:
A leave-one-out cross-validation SAS macro for the identification of markers associated with survival. Comput. Biol. Medicine 57: 123-129 (2015) - Tzu-Tsung Wong:
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation. Pattern Recognit. 48(9): 2839-2846 (2015) - 2014
- Darren Homrighausen, Daniel J. McDonald:
Leave-one-out cross-validation is risk consistent for lasso. Mach. Learn. 97(1-2): 65-78 (2014) - Wentao Mao, Xiaoxia Mu, Yanbin Zheng, Guirong Yan:
Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine. Neural Comput. Appl. 24(2): 441-451 (2014)
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