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1. Density estimation for statistics and data analysis
by Silverman, B. W
1986, 1, Monographs on statistics and applied probability, ISBN 0412246201, Volume 26., ix, 175
Théorie de l'estimation | Estimation theory | Statistical Theory & Methods
Book
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2. Full Text Spatial data analysis in ecology and agriculture using R
by Plant, Richard E
2012, ISBN 9781439819135, xv, 631
Spatial analysis (Statistics) | R (Langage de programmation) | ecology | Méthodes statistiques | Analyse spatiale (Statistique) | Agriculture | R (Computer program language) | Statistical methods | statistical analysis | computers
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3. Full Text KERNEL DENSITY ESTIMATION VIA DIFFUSION
by Z. I. Botev and J. F. Grotowski and D. P. Kroese
The Annals of statistics, ISSN 0090-5364, 10/2010, Volume 38, Issue 5, pp. 2916 - 2957
Density estimation | Estimation bias | Sample size | Random variables | Data smoothing | Diffusion coefficient | Estimators | Point estimators | Estimation methods | Bandwidth selection | Heat kernel | Nonparametric density estimation | Diffusion equation | Langevin process | Boundary bias | Data sharpening | Variable bandwidth | Normal reference rules | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | General topics | Exact sciences and technology | Probability theory and stochastic processes | Nonparametric inference | Markov processes | Probability and statistics | Statistics | Parametric inference | Sciences and techniques of general use | Studies | Monte Carlo simulation | Statistical analysis | variable bandwidth | 62G07 | normal reference rules | 60J60 | 60J70 | 35K05 | 35K15 | boundary bias | data sharpening | heat kernel | bandwidth selection | 62G20 | diffusion equation
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4. Full Text Density Estimation
by Simon J. Sheather
Statistical science, ISSN 0883-4237, 11/2004, Volume 19, Issue 4, pp. 588 - 597
Datasets | Density estimation | Histograms | Estimation bias | Wands | Least squares | Data smoothing | Estimators | Point estimators | Estimation methods | Local likelihood density estimates | Bandwidth selection | Kernel density estimation | Data sharpening | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | local likelihood density estimates | data sharpening | bandwidth selection
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5. Full Text Maximum Correntropy Estimation Is a Smoothed MAP Estimation
by Badong Chen and Principe, J. C
IEEE signal processing letters, ISSN 1070-9908, 08/2012, Volume 19, Issue 8, pp. 491 - 494
Correntropy | Smoothing methods | Convolution | Estimation | Mean square error methods | Probability density function | maximum a posteriori estimation | Random variables | Kernel | maximum correntropy estimation | estimation | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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6. Full Text Kernel methods for software effort estimation
: Effects of different kernel functions and bandwidths on estimation accuracy
by Kocaguneli, Ekrem and Kocaguneli, Ekrem and Menzies, Tim and Menzies, Tim and Keung, Jacky W and Keung, Jacky W
Empirical software engineering : an international journal, ISSN 1382-3256, 2/2013, Volume 18, Issue 1, pp. 1 - 24
Kernel function | Programming Languages, Compilers, Interpreters | Computer Science | Bandwidth | Software Engineering/Programming and Operating Systems | Effort estimation | Data mining | Computer Science, Software Engineering | Technology | Science & Technology | Computer science | Electrical engineering | Software | Internet software | Methods | Kernels | Analogies | Weighting | Density | Computer programs | Adaptation
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7. Full Text Kernel methods in system identification, machine learning and function estimation: A survey
by Pillonetto, Gianluigi and Dinuzzo, Francesco and Chen, Tianshi and De Nicolao, Giuseppe and Ljung, Lennart
Automatica (Oxford), ISSN 0005-1098, 03/2014, Volume 50, Issue 3, pp. 657 - 682
Linear system identification | Inverse problems | Model complexity selection | Bias-variance trade-off | Kernel-based regularization | Gaussian processes | Prediction error methods | Reproducing kernel Hilbert spaces | Engineering, Electrical & Electronic | Engineering | Automation & Control Systems | Technology | Science & Technology | Data processing. List processing. Character string processing | Learning and adaptive systems | Memory organisation. Data processing | Exact sciences and technology | Applied sciences | Control theory. Systems | Software | Modelling and identification | Artificial intelligence | Computer science; control theory; systems
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8. Full Text Estimation of monthly solar radiation from measured temperatures using support vector machines – A case study
by Chen, Ji-Long and Liu, Hong-Bin and Wu, Wei and Xie, De-Ti
Renewable energy, ISSN 0960-1481, 2011, Volume 36, Issue 1, pp. 413 - 420
Kernel function | Input feature | Support vector machine | Comparison | Empirical model | Science & Technology - Other Topics | Green & Sustainable Science & Technology | Technology | Energy & Fuels | Science & Technology | Applied sciences | Natural energy | Energy | Solar radiation | Exact sciences and technology | Solar energy | Case studies | Algorithms | Data mining | Analysis | Radiation | Support vector machines | Stations | Errors | Mean square values | Kernel functions | Roots | Mathematical models | Empirical analysis
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9. Full Text Super-Resolution Without Explicit Subpixel Motion Estimation
by Takeda, H and Milanfar, P and Protter, M and Elad, M
IEEE transactions on image processing, ISSN 1057-7149, 09/2009, Volume 18, Issue 9, pp. 1958 - 1975
Optical filters | Multidimensional systems | Motion estimation | spatially adaptive | Video sequences | nonlinear filter | super-resolution | Displays | local polynomial | nonparametric | Denoising | Interpolation | regression | Spatiotemporal phenomena | Spatial resolution | Kernel | Nonlinear optics | frame rate upconversion | Frame rate upconversion | Spatially adaptive | Nonlinear filter | Nonparametric | Super-resolution | Regression | Local polynomial | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Miscellaneous | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Evaluation | Usage | Resolution (Optics) | Kernel functions | Analysis | Kernels | Approximation | Rendering | Least squares method | Mathematical analysis | Series (mathematics) | Pixels
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10. Full Text Blind Image Blur Estimation via Deep Learning
by Ruomei Yan and Ling Shao
IEEE transactions on image processing, ISSN 1057-7149, 04/2016, Volume 25, Issue 4, pp. 1910 - 1921
Training | Parameter estimation | blur parameter estimation | Image edge detection | blind image deblurring | Neural networks | Estimation | Feature extraction | blur classification | Kernel | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Learning | Usage | Analysis | Research | Edge detection (Image processing) | Regression analysis
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11. Full Text Defocus map estimation from a single image
by Zhuo, Shaojie and Sim, Terence
Pattern recognition, ISSN 0031-3203, 2011, Volume 44, Issue 9, pp. 1852 - 1858
Gaussian gradient | Image processing | Defocus blur | Defocus magnification | Defocus map | Kernels | Recovering | Propagation | Images | Gaussian | Pattern recognition | Estimates | Ambiguity
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12. Full Text Information-Theoretic Compressive Sensing Kernel Optimization and Bayesian Cramér–Rao Bound for Time Delay Estimation
by Yujie Gu and Goodman, Nathan A
IEEE transactions on signal processing, ISSN 1053-587X, 09/2017, Volume 65, Issue 17, pp. 4525 - 4537
Delay effects | Compressive sensing (CS) | Estimation | Gaussian mixture (GM) | time delay estimation | minimum mean-square error (MMSE) | Analog-digital conversion | Radar | sensing kernel optimization | Sensors | Cramér–Rao bound (CRB) | mutual information | Kernel | Compressed sensing | Cramér-Rao bound (CRB) | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology
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13. Full Text Motion Blur Kernel Estimation via Deep Learning
by Xiangyu Xu and Jinshan Pan and Yu-Jin Zhang and Ming-Hsuan Yang
IEEE transactions on image processing, ISSN 1057-7149, 01/2018, Volume 27, Issue 1, pp. 194 - 205
Image edge detection | Computational modeling | deep convolutional neural network | Estimation | Training data | Machine learning | sharp edges | Image restoration | Kernel | Blind image deblurring | kernel estimation | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer-generated environments | Research | Computer simulation | Artificial intelligence
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14. Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting
by Shi, Xun and Li, Meifang and Hunter, Olivia and Guetti, Bart and Andrew, Angeline and Stommel, Elijah and Bradley, Walter and Karagas, Margaret
Annals of GIS, ISSN 1947-5683, 01/2019, Volume 25, Issue 1, pp. 1 - 8
Environmental exposure | health | interpolation | kernel density estimation | snapshotting
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