Works matching DE "GAUSSIAN processes"

Results: 5000

An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia.

Published in:

Computation, 2025, v. 13, n. 5, p. 116, doi. 10.3390/computation13050116

By:

Pérez-Rosero, Diego Armando;
Manrique-Cabezas, Diego Alejandro;
Triana-Martinez, Jennifer Carolina;
Álvarez-Meza, Andrés Marino;
Castellanos-Dominguez, German

Publication type:

Article

Rough multi-factor volatility for SPX and VIX options.

Published in:

Advances in Applied Probability, 2025, v. 57, n. 2, p. 524, doi. 10.1017/apr.2024.45

By:

Jacquier, Antoine;
Muguruza, Aitor;
Pannier, Alexandre

Publication type:

Article

Spatiotemporal Downscaling Model for Solar Irradiance Forecast Using Nearest-Neighbor Random Forest and Gaussian Process.

Published in:

Energies (19961073), 2025, v. 18, n. 10, p. 2447, doi. 10.3390/en18102447

By:

Asiedu, Shadrack T.;
Suvedi, Abhilasha;
Wang, Zongjie;
Rekabdarkolaee, Hossein Moradi;
Hansen, Timothy M.

Publication type:

Article

Distributed model building and recursive integration for big spatial data modeling.

Published in:

Biometrics, 2025, v. 81, n. 1, p. 1, doi. 10.1093/biomtc/ujae159

By:

Hector, Emily C;
Reich, Brian J;
Eloyan, Ani

Publication type:

Article

Gaussian processes for time series with lead–lag effects with applications to biology data.

Published in:

Biometrics, 2025, v. 81, n. 1, p. 1, doi. 10.1093/biomtc/ujae156

By:

Mu, Wancen;
Chen, Jiawen;
Davis, Eric S;
Reed, Kathleen;
Phanstiel, Douglas;
Love, Michael I;
Li, Didong

Publication type:

Article

Interactive shadowing for 2D Anime.

Published in:

Computer Animation & Virtual Worlds, 2009, v. 20, n. 2/3, p. 395

By:

Sugisaki, Eiji;
Hock Soon Seah;
Feng Tian;
Morishima, Shigeo

Publication type:

Article

Grasp synthesis from low-dimensional probabilistic grasp models.

Published in:

Computer Animation & Virtual Worlds, 2008, v. 19, n. 3/4, p. 445, doi. 10.1002/cav.252

By:

Ben Amor, Heni;
Heumer, Guido;
Jung, Bernhard;
Vitzthum, Arnd

Publication type:

Article

APPLICATION OF THE GAUSSIAN TIME-DEPENDENT HARTREE METHOD TO THE STUDY OF THE GROUND STATE OF NEON CLUSTERS.

Published in:

Revista Cubana de Física, 2017, v. 34, n. 1, p. 23

By:

RAMOS-RAMOS, A. R.;
URANGA-PIÑA, L.;
MARTÍNEZ-MESA, A.

Publication type:

Article

MOLECULAR MODELING AS A SELF-TAUGHT COMPONENT.

Published in:

CEE: Chemical Engineering Education, 2016, v. 50, n. 2, p. 125

By:

Rothe, Erhard W.;
Zygmunt, William E.

Publication type:

Article

Towards a better understanding of the dynamics of value creation in R&D intensive small firms.

Published in:

R&D Management, 2017, v. 47, n. 5, p. E1, doi. 10.1111/radm.12221

By:

Casault, Sébastien;
Groen, Aard J.;
Linton, Jonathan D.

Publication type:

Article

Value of Information Analysis for Complex Simulator Models: Application to Wind Farm Maintenance.

Published in:

Decision Analysis, 2020, v. 17, n. 2, p. 134, doi. 10.1287/deca.2019.0405

By:

Myklebust, Hans Olav Vogt;
Eidsvik, Jo;
Sperstad, Iver Bakken;
Bhattacharjya, Debarun

Publication type:

Article

Influence Diagrams with Continuous Decision Variables and Non-Gaussian Uncertainties.

Published in:

Decision Analysis, 2007, v. 4, n. 3, p. 136, doi. 10.1287/deca.1070.0095

By:

Cobb, Barry R.

Publication type:

Article

Design and implementation of linear-quadratic-Gaussian stability augmentation autopilot for unmanned air vehicle.

Published in:

Aeronautical Journal, 2009, v. 113, n. 1143, p. 275, doi. 10.1017/S0001924000002955

By:

Lee, C.-S.;
Hsiao, F.-B.;
Jan, S.-S.

Publication type:

Article

Oxidative Fusion Reactions of meso-(Diarylamino)porphyrins.

Published in:

Angewandte Chemie, 2013, v. 125, n. 37, p. 9910, doi. 10.1002/ange.201304794

By:

Fukui, Norihito;
Cha, Won-Young;
Lee, Sangsu;
Tokuji, Sumito;
Kim, Dongho;
Yorimitsu, Hideki;
Osuka, Atsuhiro

Publication type:

Article

Randomized large distortion dimension reduction.

Published in:

Positivity, 2014, v. 18, n. 4, p. 767, doi. 10.1007/s11117-014-0275-7

By:

Dmitriyuk, Alon;
Gordon, Yehoram

Publication type:

Article

Uniform estimates for order statistics and Orlicz functions.

Published in:

Positivity, 2012, v. 16, n. 1, p. 1, doi. 10.1007/s11117-010-0107-3

By:

Gordon, Yehoram;
Litvak, Alexander;
Schütt, Carsten;
Werner, Elisabeth

Publication type:

Article

Maximum tsunami height prediction using pressure gauge data by a Gaussian process at Owase in the Kii Peninsula, Japan.

Published in:

Marine Geophysical Research, 2016, v. 37, n. 4, p. 361, doi. 10.1007/s11001-016-9286-z

By:

Igarashi, Yasuhiko;
Hori, Takane;
Murata, Shin;
Sato, Kenichiro;
Baba, Toshitaka;
Okada, Masato

Publication type:

Article

Quantitative Gaussian approximation of randomly initialized deep neural networks.

Published in:

Machine Learning, 2024, v. 113, n. 9, p. 6373, doi. 10.1007/s10994-024-06578-z

By:

Basteri, Andrea;
Trevisan, Dario

Publication type:

Article

Fast deep mixtures of Gaussian process experts.

Published in:

Machine Learning, 2024, v. 113, n. 3, p. 1483, doi. 10.1007/s10994-023-06491-x

By:

Etienam, Clement;
Law, Kody J. H.;
Wade, Sara;
Zankin, Vitaly

Publication type:

Article

Heterogeneous multi-task Gaussian Cox processes.

Published in:

Machine Learning, 2023, v. 112, n. 12, p. 5105, doi. 10.1007/s10994-023-06382-1

By:

Zhou, Feng;
Kong, Quyu;
Deng, Zhijie;
He, Fengxiang;
Cui, Peng;
Zhu, Jun

Publication type:

Article

Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics.

Published in:

Machine Learning, 2023, v. 112, n. 10, p. 3713, doi. 10.1007/s10994-021-06019-1

By:

Berkenkamp, Felix;
Krause, Andreas;
Schoellig, Angela P.

Publication type:

Article

Pruning during training by network efficacy modeling.

Published in:

Machine Learning, 2023, v. 112, n. 7, p. 2653, doi. 10.1007/s10994-023-06304-1

By:

Rajpal, Mohit;
Zhang, Yehong;
Low, Bryan Kian Hsiang

Publication type:

Article

Correlated product of experts for sparse Gaussian process regression.

Published in:

Machine Learning, 2023, v. 112, n. 5, p. 1411, doi. 10.1007/s10994-022-06297-3

By:

Schürch, Manuel;
Azzimonti, Dario;
Benavoli, Alessio;
Zaffalon, Marco

Publication type:

Article

Large scale multi-output multi-class classification using Gaussian processes.

Published in:

Machine Learning, 2023, v. 112, n. 4, p. 1077, doi. 10.1007/s10994-022-06289-3

By:

Ma, Chunchao;
Álvarez, Mauricio A.

Publication type:

Article

Adversarial vulnerability bounds for Gaussian process classification.

Published in:

Machine Learning, 2023, v. 112, n. 3, p. 971, doi. 10.1007/s10994-022-06224-6

By:

Smith, Michael Thomas;
Grosse, Kathrin;
Backes, Michael;
Álvarez, Mauricio A.

Publication type:

Article

Semi-parametric Bayes regression with network-valued covariates.

Published in:

Machine Learning, 2022, v. 111, n. 10, p. 3733, doi. 10.1007/s10994-022-06174-z

By:

Ma, Xin;
Kundu, Suprateek;
Stevens, Jennifer

Publication type:

Article

MAGMA: inference and prediction using multi-task Gaussian processes with common mean.

Published in:

Machine Learning, 2022, v. 111, n. 5, p. 1821, doi. 10.1007/s10994-022-06172-1

By:

Leroy, Arthur;
Latouche, Pierre;
Guedj, Benjamin;
Gey, Servane

Publication type:

Article

Nested aggregation of experts using inducing points for approximated Gaussian process regression.

Published in:

Machine Learning, 2022, v. 111, n. 5, p. 1671, doi. 10.1007/s10994-021-06101-8

By:

Nakai-Kasai, Ayano;
Tanaka, Toshiyuki

Publication type:

Article

Few-shot learning for spatial regression via neural embedding-based Gaussian processes.

Published in:

Machine Learning, 2022, v. 111, n. 4, p. 1239, doi. 10.1007/s10994-021-06118-z

By:

Iwata, Tomoharu;
Tanaka, Yusuke

Publication type:

Article

Bayesian optimization with partially specified queries.

Published in:

Machine Learning, 2022, v. 111, n. 3, p. 1019, doi. 10.1007/s10994-021-06079-3

By:

Hayashi, Shogo;
Honda, Junya;
Kashima, Hisashi

Publication type:

Article

SAMBA: safe model-based & active reinforcement learning.

Published in:

Machine Learning, 2022, v. 111, n. 1, p. 173, doi. 10.1007/s10994-021-06103-6

By:

Cowen-Rivers, Alexander I.;
Palenicek, Daniel;
Moens, Vincent;
Abdullah, Mohammed Amin;
Sootla, Aivar;
Wang, Jun;
Bou-Ammar, Haitham

Publication type:

Article

Gaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting.

Published in:

Machine Learning, 2021, v. 110, n. 8, p. 2213, doi. 10.1007/s10994-021-06031-5

By:

Chen, Kai;
van Laarhoven, Twan;
Marchiori, Elena

Publication type:

Article

Pseudo-marginal Bayesian inference for Gaussian process latent variable models.

Published in:

Machine Learning, 2021, v. 110, n. 6, p. 1105, doi. 10.1007/s10994-021-05971-2

By:

Gadd, C.;
Wade, S.;
Shah, A. A.

Publication type:

Article

Large scale multi-label learning using Gaussian processes.

Published in:

Machine Learning, 2021, v. 110, n. 5, p. 965, doi. 10.1007/s10994-021-05952-5

By:

Panos, Aristeidis;
Dellaportas, Petros;
Titsias, Michalis K.

Publication type:

Article

Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.

Published in:

Machine Learning, 2021, v. 110, n. 3, p. 457, doi. 10.1007/s10994-021-05946-3

By:

Hüllermeier, Eyke;
Waegeman, Willem

Publication type:

Article

Skew Gaussian processes for classification.

Published in:

Machine Learning, 2020, v. 109, n. 9/10, p. 1877, doi. 10.1007/s10994-020-05906-3

By:

Benavoli, Alessio;
Azzimonti, Dario;
Piga, Dario

Publication type:

Article

Scalable Bayesian preference learning for crowds.

Published in:

Machine Learning, 2020, v. 109, n. 4, p. 689, doi. 10.1007/s10994-019-05867-2

By:

Simpson, Edwin;
Gurevych, Iryna

Publication type:

Article

Distribution-free uncertainty quantification for kernel methods by gradient perturbations.

Published in:

Machine Learning, 2019, v. 108, n. 8/9, p. 1677, doi. 10.1007/s10994-019-05822-1

By:

Csáji, Balázs Cs.;
Kis, Krisztián B.

Publication type:

Article

A flexible probabilistic framework for large-margin mixture of experts.

Published in:

Machine Learning, 2019, v. 108, n. 8/9, p. 1369, doi. 10.1007/s10994-019-05811-4

By:

Sharma, Archit;
Saxena, Siddhartha;
Rai, Piyush

Publication type:

Article

Grouped Gaussian processes for solar power prediction.

Published in:

Machine Learning, 2019, v. 108, n. 8/9, p. 1287, doi. 10.1007/s10994-019-05808-z

By:

Dahl, Astrid;
Bonilla, Edwin V.

Publication type:

Article

Stochastic variational hierarchical mixture of sparse Gaussian processes for regression.

Published in:

Machine Learning, 2018, v. 107, n. 12, p. 1947, doi. 10.1007/s10994-018-5721-5

By:

Nguyen, Thi Nhat Anh;
Bouzerdoum, Abdesselam;
Phung, Son Lam

Publication type:

Article

A scalable preference model for autonomous decision-making.

Published in:

Machine Learning, 2018, v. 107, n. 6, p. 1039, doi. 10.1007/s10994-018-5705-5

By:

Peters, Markus;
Saar-Tsechansky, Maytal;
Ketter, Wolfgang;
Williamson, Sinead A.;
Groot, Perry;
Heskes, Tom

Publication type:

Article

Scalable Gaussian process-based transfer surrogates for hyperparameter optimization.

Published in:

Machine Learning, 2018, v. 107, n. 1, p. 43, doi. 10.1007/s10994-017-5684-y

By:

Wistuba, Martin;
Schilling, Nicolas;
Schmidt-Thieme, Lars

Publication type:

Article

Varying-coefficient models for geospatial transfer learning.

Published in:

Machine Learning, 2017, v. 106, n. 9-10, p. 1419, doi. 10.1007/s10994-017-5639-3

By:

Bussas, Matthias;
Sawade, Christoph;
Kühn, Nicolas;
Scheffer, Tobias;
Landwehr, Niels

Publication type:

Article

Gaussian conditional random fields extended for directed graphs.

Published in:

Machine Learning, 2017, v. 106, n. 9-10, p. 1271, doi. 10.1007/s10994-016-5611-7

By:

Vujicic, Tijana;
Glass, Jesse;
Zhou, Fang;
Obradovic, Zoran

Publication type:

Article

A constrained $$\ell $$ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.

Published in:

Machine Learning, 2017, v. 106, n. 9-10, p. 1381, doi. 10.1007/s10994-017-5635-7

By:

Wang, Beilun;
Singh, Ritambhara;
Qi, Yanjun

Publication type:

Article

A constrained $$\ell $$ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.

Published in:

Machine Learning, 2017, v. 106, n. 9-10, p. 1381, doi. 10.1007/s10994-017-5635-7

By:

Wang, Beilun;
Singh, Ritambhara;
Qi, Yanjun

Publication type:

Article

Multi-view kernel completion.

Published in:

Machine Learning, 2017, v. 106, n. 5, p. 713, doi. 10.1007/s10994-016-5618-0

By:

Bhadra, Sahely;
Kaski, Samuel;
Rousu, Juho

Publication type:

Article

Asymptotic analysis of the learning curve for Gaussian process regression.

Published in:

Machine Learning, 2015, v. 98, n. 3, p. 407, doi. 10.1007/s10994-014-5437-0

By:

Gratiet, Loic;
Garnier, Josselin

Publication type:

Article

The matrix ridge approximation: algorithms and applications.

Published in:

Machine Learning, 2014, v. 97, n. 3, p. 227, doi. 10.1007/s10994-013-5431-y

By:

Zhang, Zhihua

Publication type:

Article