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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Autore Lee Saro
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (438 p.)
Soggetto non controllato artificial neural network
model switching
sensitivity analysis
neural networks
logit boost
Qaidam Basin
land subsidence
land use/land cover (LULC)
naïve Bayes
multilayer perceptron
convolutional neural networks
single-class data descriptors
logistic regression
feature selection
mapping
particulate matter 10 (PM10)
Bayes net
gray-level co-occurrence matrix
multi-scale
Logistic Model Trees
classification
Panax notoginseng
large scene
coarse particle
grayscale aerial image
Gaofen-2
environmental variables
variable selection
spatial predictive models
weights of evidence
landslide prediction
random forest
boosted regression tree
convolutional network
Vietnam
model validation
colorization
data mining techniques
spatial predictions
SCAI
unmanned aerial vehicle
high-resolution
texture
spatial sparse recovery
landslide susceptibility map
machine learning
reproducible research
constrained spatial smoothing
support vector machine
random forest regression
model assessment
information gain
ALS point cloud
bagging ensemble
one-class classifiers
leaf area index (LAI)
landslide susceptibility
landsat image
ionospheric delay constraints
spatial spline regression
remote sensing image segmentation
panchromatic
Sentinel-2
remote sensing
optical remote sensing
materia medica resource
GIS
precise weighting
change detection
TRMM
traffic CO
crop
training sample size
convergence time
object detection
gully erosion
deep learning
classification-based learning
transfer learning
landslide
traffic CO prediction
hybrid model
winter wheat spatial distribution
logistic
alternating direction method of multipliers
hybrid structure convolutional neural networks
geoherb
predictive accuracy
real-time precise point positioning
spectral bands
ISBN 3-03921-216-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367564103321
Lee Saro  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
New Developments in Statistical Information Theory Based on Entropy and Divergence Measures
Autore Pardo Leandro
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (344 p.)
Soggetto non controllato mixture index of fit
Kullback-Leibler distance
relative error estimation
minimum divergence inference
Neyman Pearson test
influence function
consistency
thematic quality assessment
asymptotic normality
Hellinger distance
nonparametric test
Berstein von Mises theorem
maximum composite likelihood estimator
2-alternating capacities
efficiency
corrupted data
statistical distance
robustness
log-linear models
representation formula
goodness-of-fit
general linear model
Wald-type test statistics
Hölder divergence
divergence
logarithmic super divergence
information geometry
sparse
robust estimation
relative entropy
minimum disparity methods
MM algorithm
local-polynomial regression
association models
total variation
Bayesian nonparametric
ordinal classification variables
Wald test statistic
Wald-type test
composite hypotheses
compressed data
hypothesis testing
Bayesian semi-parametric
single index model
indoor localization
composite minimum density power divergence estimator
quasi-likelihood
Chernoff Stein lemma
composite likelihood
asymptotic property
Bregman divergence
robust testing
misspecified hypothesis and alternative
least-favorable hypotheses
location-scale family
correlation models
minimum penalized ?-divergence estimator
non-quadratic distance
robust
semiparametric model
divergence based testing
measurement errors
bootstrap distribution estimator
generalized renyi entropy
minimum divergence methods
generalized linear model
?-divergence
Bregman information
iterated limits
centroid
model assessment
divergence measure
model check
two-sample test
Wald statistic
ISBN 3-03897-937-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346856403321
Pardo Leandro  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui