Cargando…

Next Location Prediction Based on an Adaboost-Markov Model of Mobile Users †

As an emerging class of spatial trajectory data, mobile user trajectory data can be used to analyze individual or group behavioral characteristics, hobbies and interests. Besides, the information extracted from original trajectory data is widely used in smart cities, transportation planning, and ant...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Hongjun, Yang, Zhen, Shi, Yingchun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470696/ https://www.ncbi.nlm.nih.gov/pubmed/30917583 http://dx.doi.org/10.3390/s19061475

Ejemplares similares

Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification
por: Yan, Ming, et al.
Publicado: (2021)

A DBULSTM-Adaboost Model for Sea Surface Temperature Prediction
por: Yang, Jiachen, et al.
Publicado: (2022)

DELTA: A Distal Enhancer Locating Tool Based on AdaBoost Algorithm and Shape Features of Chromatin Modifications
por: Lu, Yiming, et al.
Publicado: (2015)

A geographical location prediction method based on continuous time series Markov model
por: Du, Yongping, et al.
Publicado: (2018)

AdaBoost based Random forest model for Emotion classification of Facial images
por: Gubbala, Kumari, et al.
Publicado: (2023)

An Intelligent Learning System for Unbiased Prediction of Dementia Based on Autoencoder and Adaboost Ensemble Learning
por: Javeed, Ashir, et al.
Publicado: (2022)

Adaboost Algorithm in Artificial Intelligence for Optimizing the IRI Prediction Accuracy of Asphalt Concrete Pavement
por: Wang, Changbai, et al.
Publicado: (2021)

Brillouin Frequency Shift Extraction Based on AdaBoost Algorithm
por: Zheng, Huan, et al.
Publicado: (2022)

A Nonlinear Integrated Modeling Method of Extended Kalman Filter Based on Adaboost Algorithm
por: Zhou, Feng-Bo, et al.
Publicado: (2021)

AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM
por: Yoon, Sejong, et al.
Publicado: (2009)

Thermal Image-Based Temperament Classification by Genetic Algorithm and Adaboost Classifier
por: Ghods, Roshanak, et al.
Publicado: (2021)

A Parallel Adaboost-Backpropagation Neural Network for Massive Image Dataset Classification
por: Cao, Jianfang, et al.
Publicado: (2016)

Movie recommendation model based on probabilistic matrix decomposition using hybrid AdaBoost integration
por: Zhang, Zhengjin, et al.
Publicado: (2023)

AdaBoost Metalearning Methodology for Modeling the Incipient Dissociation Conditions of Clathrate Hydrates
por: Keshvari, Sepehr, et al.
Publicado: (2021)

Adaboost-SVM-based probability algorithm for the prediction of all mature miRNA sites based on structured-sequence features
por: Wang, Ying, et al.
Publicado: (2019)

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction
por: Thakkar, Hiren Kumar, et al.
Publicado: (2022)

A Video Based Fire Smoke Detection Using Robust AdaBoost
por: Wu, Xuehui, et al.
Publicado: (2018)

Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals
por: Hu, Jianfeng
Publicado: (2017)

An improved AdaBoost algorithm for identification of lung cancer based on electronic nose
por: Hao, Lijun, et al.
Publicado: (2023)

Obscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier
por: Mustafa, Rashed, et al.
Publicado: (2014)

The Virtual Screening of the Drug Protein with a Few Crystal Structures Based on the Adaboost-SVM
por: Wang, Meng-yu, et al.
Publicado: (2016)

An Adaboost-Backpropagation Neural Network for Automated Image Sentiment Classification
por: Cao, Jianfang, et al.
Publicado: (2014)

Mitosis detection using generic features and an ensemble of cascade adaboosts
por: Tek, F. Boray
Publicado: (2013)

Chagas Parasite Detection in Blood Images Using AdaBoost
por: Uc-Cetina, Víctor, et al.
Publicado: (2015)

Vulture-Based AdaBoost-Feedforward Neural Frame Work for COVID-19 Prediction and Severity Analysis System
por: Mary, S. Roselin, et al.
Publicado: (2022)

Adaboost-Based Machine Learning Improved the Modeling Robust and Estimation Accuracy of Pear Leaf Nitrogen Concentration by In-Field VIS-NIR Spectroscopy
por: Wang, Jie, et al.
Publicado: (2021)

Novel vehicle detection system based on stacked DoG kernel and AdaBoost
por: Kang, Hyun Ho, et al.
Publicado: (2018)

A Novel Method to Determine Basic Probability Assignment Based on Adaboost and Its Application in Classification
por: Fu, Wei, et al.
Publicado: (2021)

Predicting protein subcellular locations using hierarchical ensemble of Bayesian classifiers based on Markov chains
por: Bulashevska, Alla, et al.
Publicado: (2006)

Object-Oriented Classification of Sugarcane Using Time-Series Middle-Resolution Remote Sensing Data Based on AdaBoost
por: Zhou, Zhen, et al.
Publicado: (2015)

An Intelligent Heartbeat Classification System Based on Attributable Features with AdaBoost+Random Forest Algorithm
por: Li, Runchuan, et al.
Publicado: (2021)

Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations
por: Lee, Younghyun, et al.
Publicado: (2013)

Ada-WHIPS: explaining AdaBoost classification with applications in the health sciences
por: Hatwell, Julian, et al.
Publicado: (2020)

AdaBoost Based Multi-Instance Transfer Learning for Predicting Proteome-Wide Interactions between Salmonella and Human Proteins
por: Mei, Suyu, et al.
Publicado: (2014)

Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure Detection
por: Al-Hadeethi, Hanan, et al.
Publicado: (2021)

Discovery of Diagnosis Pattern of Coronary Heart Disease with Qi Deficiency Syndrome by the T-Test-Based Adaboost Algorithm
por: Zhao, Huihui, et al.
Publicado: (2011)

Adaboost face detector based on Joint Integral Histogram and Genetic Algorithms for feature extraction process
por: Jammoussi, Ameni Yangui, et al.
Publicado: (2014)

A Markov Chain Model for Changes in Users’ Assessment of Search Results
por: Zhitomirsky-Geffet, Maayan, et al.
Publicado: (2016)

An empowered AdaBoost algorithm implementation: A COVID-19 dataset study
por: Sevinç, Ender
Publicado: (2022)

Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data
por: Ramakrishna, Mahesh Thyluru, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ul18qrp22h4ic73t9ebkfk7hg8