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1986, Monographs on statistics and applied probability (Series), ISBN 0412246201, ix, 175
Book
Molecular Ecology Resources, ISSN 1755-098X, 01/2014, Volume 14, Issue 1, pp. 209 - 214
Journal Article
Journal Article
Statistical Science, ISSN 0883-4237, 11/2004, Volume 19, Issue 4, pp. 588 - 597
Journal Article
Empirical Software Engineering, ISSN 1382-3256, 2/2013, Volume 18, Issue 1, pp. 1 - 24
Journal Article
Methodology and Computing in Applied Probability, ISSN 1387-5841, 3/2015, Volume 17, Issue 1, pp. 41 - 57
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 08/2012, Volume 19, Issue 8, pp. 491 - 494
As a new measure of similarity, the correntropy can be used as an objective function for many applications. In this letter, we study Bayesian estimation under... 
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
Journal Article
Journal Article
2000, Methods in ecology, ISBN 9780865427402, x, 348
Ecologists and environmental managers rely on mathematical models, both to understand ecological systems and to predict future system behavior. In turn, models... 
Mathematical models | Population biology | Biology
Book
1978, Johns Hopkins series in the mathematical sciences, ISBN 0801820316, Volume 1, xi, 176
Book
Molecular Ecology Resources, ISSN 1755-098X, 07/2017, Volume 17, Issue 4, pp. 586 - 597
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 09/2016, Volume 17, pp. 1 - 37
We present Neural Autoregressive Distribution Estimation (NADE) models, which are neural network architectures applied to the problem of unsupervised... 
Neural Networks | Unsupervised Learning | Deep Learning | Density Modeling | deep learning | density modeling | MODELS | neural networks | ALGORITHM | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | unsupervised learning
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 07/2019, Volume 125, pp. 271 - 277
Age estimation is a challenging research topic in recent years. Existing approaches usually use only appearance features for age estimation. Personalized aging... 
Recurrent age estimation (RAE) | Label distribution learning (LDL) | Age estimation | Convolutional neural network (CNN) | Long short-term memory (LSTM) | RECOGNITION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Electrical engineering | Computer science | Neural networks | Analysis | Low density lipoproteins
Journal Article
The Annals of Statistics, ISSN 0090-5364, 8/2014, Volume 42, Issue 4, pp. 1511 - 1545
We study the problem of estimating the ridges of a density function. Ridge estimation is an extension of mode finding and is useful for understanding the... 
Mathematical manifolds | Circles | Density estimation | Topological theorems | Logical theorems | Eigenvalues | Matrices | Density | Estimators | Consistent estimators | Ridges | Manifold learning | DENSITY | DECONVOLUTION | MODE | STATISTICS & PROBABILITY | density estimation | GRADIENT | MEAN SHIFT | LINES | manifold learning | Studies | Numerical analysis | Algorithms | Estimating techniques | Topological manifolds | 62G05 | 62G20 | 62H12
Journal Article
1987, ISBN 9780817633653, Volume 14., xix, 183
Book
Journal of Banking and Finance, ISSN 0378-4266, 06/2018, Volume 91, pp. 133 - 145
The estimation of risk measures recently gained a lot of attention, partly because of the backtesting issues of expected shortfall related to elicitability. In... 
Tail value-at-risk | Estimation of risk measures | Risk estimation | Risk measure | Bias | Expected shortfall | Unbiased estimation of risk measures | Backtest | Elicitability | Value-at-risk | MANAGEMENT | STATISTICS | INFORMATION | BUSINESS, FINANCE | DENSITY-FUNCTION | ECONOMICS
Journal Article