A multivariate approach to the symmetrical uncertainty measure: Application to feature selection problem
G Sosa-Cabrera, M García-Torres… - Information …, 2019 - Elsevier
In this work we propose an extension of the Symmetrical Uncertainty (SU) measure in order
to address the multivariate case, simultaneously acquiring the capability to detect possible …
to address the multivariate case, simultaneously acquiring the capability to detect possible …
Camera location for real-time traffic state estimation in urban road network using big GPS data
Z Shan, Q Zhu - Neurocomputing, 2015 - Elsevier
Traffic camera has become a popular sensor for traffic state estimation in Intelligent
Transportation Systems (ITS). However, it is impracticable to cover the whole urban network …
Transportation Systems (ITS). However, it is impracticable to cover the whole urban network …
A multivariate extension of mutual information for growing neural networks
Recordings of neural network activity in vitro are increasingly being used to assess the
development of neural network activity and the effects of drugs, chemicals and disease …
development of neural network activity and the effects of drugs, chemicals and disease …
Novel EM based ML Kalman estimation framework for superresolution of stochastic three-states microtubule signal
Background Recent research has found that abnormal functioning of Microtubules (MTs)
could be linked to fatal diseases such as Alzheimer's. Hence, there is an imminent need to …
could be linked to fatal diseases such as Alzheimer's. Hence, there is an imminent need to …
Statistical models for short-term wind power ramp forecasting
CJ Gallego Castillo - 2013 - oa.upm.es
La predicción de energía eólica ha desempeñado en la última década un papel
fundamental en el aprovechamiento de este recurso renovable, ya que permite reducir el …
fundamental en el aprovechamiento de este recurso renovable, ya que permite reducir el …
Using Kullback-Leibler divergence to analyze the performance of collaborative positioning
JD Nounagnon - 2016 - vtechworks.lib.vt.edu
Geolocation accuracy is a very crucial and a life-or-death factor for rescue teams. Natural
disasters or man-made disasters are just a few convincing reasons why fast and accurate …
disasters or man-made disasters are just a few convincing reasons why fast and accurate …
[PDF][PDF] Categorical Multivariate Dependency for Feature Selection applied in Datamining Classification Task
GDS Cabrera - 2023 - conacyt.gov.py
Nowadays, the technological progress of a constantly evolving world is related to the
unprecedented increase of collected data, with hundreds or thousands of features and …
unprecedented increase of collected data, with hundreds or thousands of features and …
Reconstruction of Triple-wise Relationships in Biological Networks from Profiling Data
QD Nguyen, TH Pham, TB Ho, VH Nguyen… - The 9th International …, 2013 - Springer
Reconstruction of biological networks from profiling data is one of the most challenges in
systems biology. Methods that use some measures in information theory to reconstruct local …
systems biology. Methods that use some measures in information theory to reconstruct local …
Application of fractional calculus to a series of temperatures of the Andean zone
C Ramos Araujo, H Guerrero Hidalgo - Perfiles, 2020 - scielo.senescyt.gob.ec
APLICACIÓN DEL CÁLCULO FRACCIONAL A UNA SERIE DE TEMPERATURAS DE LA ZONA
ANDINA. Page 1 54 ISSN 2477-9105 Número 24 Vol.1 (2020) R esumen Una aproximación …
ANDINA. Page 1 54 ISSN 2477-9105 Número 24 Vol.1 (2020) R esumen Una aproximación …
[HTML][HTML] Aplicación del cálculo fraccional a una serie de temperaturas de la zona andina
C Ramos Araujo, H Guerrero Hidalgo - Perfiles, 2020 - scielo.senescyt.gob.ec
Una aproximación para entender los fenómenos con dinámica compleja es el análisis de
datos. El escalado multidimensional permite visualizar el comportamiento de los sistemas y …
datos. El escalado multidimensional permite visualizar el comportamiento de los sistemas y …