Works matching DE "GAUSSIAN processes"
Results: 5000
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
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- Publication type:
- Article
Migraine aura discrimination using machine learning: an fMRI study during ictal and interictal periods.
- Published in:
- Medical & Biological Engineering & Computing, 2024, v. 62, n. 8, p. 2545, doi. 10.1007/s11517-024-03080-5
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- Publication type:
- Article
Classification of pressure ulcer tissues with 3D convolutional neural network.
- Published in:
- 2018
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- Publication type:
- journal article
A parameterized logarithmic image processing method with Laplacian of Gaussian filtering for lung nodule enhancement in chest radiographs.
- Published in:
- 2016
- By:
- Publication type:
- journal article
Hybrid Gaussian Process Inference Model for Construction Management Decision Making.
- Published in:
- International Journal of Information Technology & Decision Making, 2020, v. 19, n. 04, p. 1015, doi. 10.1142/S0219622020500212
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- Publication type:
- Article
A NOVEL FLOW-BASED METHOD USING GREY RELATIONAL ANALYSIS FOR PATTERN CLASSIFICATION.
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- International Journal of Information Technology & Decision Making, 2013, v. 12, n. 1, p. 75, doi. 10.1142/S0219622013500041
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- Publication type:
- Article
Images of Gaussian and other stochastic processes under closed, densely-defined, unbounded linear operators.
- Published in:
- Analysis & Applications, 2024, v. 22, n. 3, p. 619, doi. 10.1142/S0219530524400025
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- Publication type:
- Article
Stable recovery of sparse signals with coherent tight frames via -analysis approach.
- Published in:
- Analysis & Applications, 2017, v. 15, n. 4, p. 505, doi. 10.1142/S021953051650010X
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- Publication type:
- Article
Deep vs. shallow networks: An approximation theory perspective.
- Published in:
- Analysis & Applications, 2016, v. 14, n. 6, p. 829, doi. 10.1142/S0219530516400042
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- Publication type:
- Article
Error bounds for learning the kernel.
- Published in:
- Analysis & Applications, 2016, v. 14, n. 6, p. 849, doi. 10.1142/S0219530516400054
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- Publication type:
- Article
A constrained matrix-variate Gaussian process for transposable data.
- Published in:
- Machine Learning, 2014, v. 97, n. 1-2, p. 103, doi. 10.1007/s10994-014-5444-1
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- 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
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- Publication type:
- Article
A comparative evaluation of stochastic-based inference methods for Gaussian process models.
- Published in:
- Machine Learning, 2013, v. 93, n. 1, p. 93, doi. 10.1007/s10994-013-5388-x
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- Publication type:
- Article
Recovering networks from distance data.
- Published in:
- Machine Learning, 2013, v. 92, n. 2-3, p. 251, doi. 10.1007/s10994-013-5370-7
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- Publication type:
- Article
Sparse non Gaussian component analysis by semidefinite programming.
- Published in:
- Machine Learning, 2013, v. 91, n. 2, p. 211, doi. 10.1007/s10994-013-5331-1
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- Publication type:
- Article
Focused multi-task learning in a Gaussian process framework.
- Published in:
- Machine Learning, 2012, v. 89, n. 1-2, p. 157, doi. 10.1007/s10994-012-5302-y
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- Publication type:
- Article
Bayesian multi-instance multi-label learning using Gaussian process prior.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 273, doi. 10.1007/s10994-012-5283-x
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- Publication type:
- Article
Compressed labeling on distilled labelsets for multi-label learning.
- Published in:
- Machine Learning, 2012, v. 88, n. 1-2, p. 69, doi. 10.1007/s10994-011-5276-1
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- Publication type:
- Article
Time varying undirected graphs.
- Published in:
- Machine Learning, 2010, v. 80, n. 2-3, p. 295, doi. 10.1007/s10994-010-5180-0
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- Publication type:
- Article
Efficient approximate leave-one-out cross-validation for kernel logistic regression.
- Published in:
- Machine Learning, 2008, v. 71, n. 2-3, p. 243, doi. 10.1007/s10994-008-5055-9
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- Publication type:
- Article
Consistency of Regularization for Free Scalar Fields.
- Published in:
- Letters in Mathematical Physics, 2009, v. 87, n. 3, p. 283, doi. 10.1007/s11005-009-0309-4
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- Publication type:
- Article
On The Local Times of Fractional Ornstein–Uhlenbeck Process.
- Published in:
- Letters in Mathematical Physics, 2005, v. 73, n. 3, p. 209, doi. 10.1007/s11005-005-0018-6
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- Publication type:
- Article
Gaussian Quantum Fluctuations in Interacting Many Particle Systems.
- Published in:
- Letters in Mathematical Physics, 2004, v. 68, n. 2, p. 103, doi. 10.1023/B:MATH.0000043321.00896.86
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- Publication type:
- Article
Stochastic Complex K-Theories: Chern Character and Bott Periodicity.
- Published in:
- Letters in Mathematical Physics, 2003, v. 64, n. 3, p. 185, doi. 10.1023/a:1025725410312
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- Publication type:
- Article
Smart process mapping of powder bed fusion additively manufactured metallic wicks using surrogate modeling.
- Published in:
- Journal of Intelligent Manufacturing, 2025, v. 36, n. 3, p. 1819, doi. 10.1007/s10845-024-02330-5
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- Publication type:
- Article
A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions.
- Published in:
- Journal of Intelligent Manufacturing, 2024, v. 35, n. 8, p. 4087, doi. 10.1007/s10845-024-02337-y
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- Publication type:
- Article
Stacking Gaussian processes to improve pKa predictions in the SAMPL7 challenge.
- Published in:
- Journal of Computer-Aided Molecular Design, 2021, v. 35, n. 9, p. 953, doi. 10.1007/s10822-021-00411-8
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- Publication type:
- Article
SAMPL6 challenge results from pKa predictions based on a general Gaussian process model.
- Published in:
- Journal of Computer-Aided Molecular Design, 2018, v. 32, n. 10, p. 1165, doi. 10.1007/s10822-018-0169-z
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- Publication type:
- Article
ExcelAutomat: a tool for systematic processing of files as applied to quantum chemical calculations.
- Published in:
- Journal of Computer-Aided Molecular Design, 2017, v. 31, n. 7, p. 667, doi. 10.1007/s10822-017-0031-8
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- Publication type:
- Article
Assessment of uncertainty in chemical models by Bayesian probabilities: Why, when, how?
- Published in:
- Journal of Computer-Aided Molecular Design, 2015, v. 29, n. 7, p. 583, doi. 10.1007/s10822-014-9822-3
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- Publication type:
- Article
Multi-task learning for pK prediction.
- Published in:
- Journal of Computer-Aided Molecular Design, 2012, v. 26, n. 7, p. 883, doi. 10.1007/s10822-012-9582-x
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- Publication type:
- Article
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
- Published in:
- Journal of Computer-Aided Molecular Design, 2007, v. 21, n. 12, p. 651, doi. 10.1007/s10822-007-9160-9
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- Publication type:
- Article
Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules.
- Published in:
- Journal of Computer-Aided Molecular Design, 2007, v. 21, n. 9, p. 485, doi. 10.1007/s10822-007-9125-z
- By:
- Publication type:
- Article
Gaussian mapping of chemical fragments in ligand binding sites.
- Published in:
- Journal of Computer-Aided Molecular Design, 2004, v. 18, n. 2, p. 101, doi. 10.1023/B:jcam.0000030033.26053.40
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- Publication type:
- Article
Spatial extremes and stochastic geometry for Gaussian-based peaks-over-threshold processes.
- Published in:
- Extremes, 2024, v. 27, n. 3, p. 397, doi. 10.1007/s10687-024-00487-z
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- Publication type:
- Article
Extremes of locally-homogenous vector-valued Gaussian processes.
- Published in:
- Extremes, 2024, v. 27, n. 2, p. 219, doi. 10.1007/s10687-023-00483-9
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- Publication type:
- Article
High-dimensional modeling of spatial and spatio-temporal conditional extremes using INLA and Gaussian Markov random fields.
- Published in:
- Extremes, 2023, v. 26, n. 4, p. 669, doi. 10.1007/s10687-023-00468-8
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- Publication type:
- Article