Token-Based Adaptive Time-Series Prediction by Ensembling Linear and Non-linear Estimators: A Machine Learning Approach for Predictive Analytics on big Stock Data

Non Linear ◽

Adaptive Time

A Machine Learning Approach to Biodiversity Time Series Analysis

SSRN Electronic Journal ◽

10.2139/ssrn.3520735 ◽

2020 ◽

Author(s):

Rajarshi Paul ◽

Th. Shanta Kumar

Keyword(s):

Machine Learning ◽

Time Series ◽

Time Series Analysis ◽

Learning Approach ◽

Series Analysis ◽

Online Prediction of Derived Remote Sensing Image Time Series: An Autonomous Machine Learning Approach

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324428 ◽

2020 ◽

Cited By ~ 1

Author(s):

Monidipa Das

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Time Series ◽

Remote Sensing Image ◽

Learning Approach ◽

Online Prediction ◽

Autonomous Machine

Prediction of grape yields from time-series vegetation indices using satellite remote sensing and a machine-learning approach

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2021.100485 ◽

2021 ◽

Vol 22 ◽

pp. 100485

Author(s):

Sara Tokhi Arab ◽

Ryozo Noguchi ◽

Shusuke Matsushita ◽

Tofael Ahamed

Keyword(s):

Machine Learning ◽

Remote Sensing ◽

Time Series ◽

Satellite Remote Sensing ◽

Vegetation Indices ◽

Learning Approach ◽

Application of data driven machine learning approach for modelling of non-linear filtration through granular porous media

International Journal of Heat and Mass Transfer ◽

10.1016/j.ijheatmasstransfer.2021.121650 ◽

2021 ◽

Vol 179 ◽

pp. 121650

Author(s):

Ashes Banerjee ◽

Srinivas Pasupuleti ◽

Koushik Mondal ◽

M. Mousavi Nezhad

Keyword(s):

Machine Learning ◽

Porous Media ◽

Data Driven ◽

Learning Approach ◽

Non Linear ◽

Granular Porous Media ◽

Linear Filtration

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Remote Sensing of Environment ◽

10.1016/j.rse.2018.02.045 ◽

2018 ◽

Vol 210 ◽

pp. 35-47 ◽

Cited By ~ 90

Author(s):

Yaping Cai ◽

Kaiyu Guan ◽

Jian Peng ◽

Shaowen Wang ◽

Christopher Seifert ◽

...

Keyword(s):

Machine Learning ◽

Time Series ◽

Classification System ◽

High Performance ◽

Learning Approach ◽

Landsat Data ◽

Field Level ◽

Crop Types

19th IEEE International Conference on Tools with Artificial Intelligence(ICTAI 2007) ◽

A Machine Learning Approach to Predict Turning Points for Chaotic Financial Time Series

10.1109/ictai.2007.105 ◽

2007 ◽

Cited By ~ 3

Author(s):

Xiuquan Li ◽

Zhido Deng

Keyword(s):

Machine Learning ◽

Time Series ◽

Financial Time Series ◽

Turning Points ◽

Learning Approach ◽

Financial Time ◽

A supervised machine learning approach for taxonomic relation recognition through non-linear enumerative structures

Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15 ◽

10.1145/2695664.2695988 ◽

2015 ◽

Author(s):

Jean-Philippe Fauconnier ◽

Mouna Kamel ◽

Bernard Rothenburger

Keyword(s):

Machine Learning ◽

Supervised Machine Learning ◽

Learning Approach ◽

Taxonomic Relation ◽

Non Linear

Financial Time Series Forecasting - A Machine Learning Approach

Machine Learning and Applications An International Journal ◽

10.5121/mlaij.2017.4302 ◽

2017 ◽

Vol 4 (1/2/3) ◽

pp. 11-27 ◽

Cited By ~ 2

Author(s):

Alexiei Dingli ◽

Karl Sant Fournier

Keyword(s):

Machine Learning ◽

Time Series ◽

Financial Time Series ◽

Time Series Forecasting ◽

Learning Approach ◽

Financial Time ◽

A Machine Learning Approach: Using Predictive Analytics to Identify and Analyze High Risks Patients with Heart Disease

International Journal of Machine Learning and Computing ◽

10.18178/ijmlc.2019.9.6.870 ◽

2019 ◽

Vol 9 (6) ◽

pp. 762-767

Author(s):

Fadoua Khennou ◽

◽

Charif Fahim ◽

Habiba Chaoui ◽

Nour El Houda Chaoui

Keyword(s):

Machine Learning ◽

Heart Disease ◽

Predictive Analytics ◽

Learning Approach ◽

A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data

Reliability Engineering & System Safety ◽

10.1016/j.ress.2019.106706 ◽

2020 ◽

Vol 195 ◽

pp. 106706 ◽

Cited By ~ 3

Author(s):

Oluseun Omotola Aremu ◽

David Hyland-Wood ◽

Peter Ross McAree

Keyword(s):

Machine Learning ◽

Time Series ◽

Curse Of Dimensionality ◽

Learning Approach ◽