A Meta Learning Approach: Classification by Cluster Analysis

Artificial Intelligence: Methodology, Systems, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15431-7_30 ◽

2010 ◽

pp. 267-268

Author(s):

Anna Jurek ◽

Yaxin Bi ◽

Shengli Wu ◽

Chris Nugent

Keyword(s):

Cluster Analysis ◽

Learning Approach ◽

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A Meta Learning Approach for Automating Model Selection in Big Data Environments using Microservice and Container Virtualization Technologies

Proceedings of the 12th International Conference on Management of Digital EcoSystems ◽

10.1145/3415958.3433072 ◽

2020 ◽

Author(s):

Shadi Shahoud ◽

Hatem Khalloof ◽

Moritz Winter ◽

Clemens Duepmeier ◽

Veit Hagenmeyer

Keyword(s):

Big Data ◽

Model Selection ◽

Learning Approach ◽

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Specific Emitter Identification with Limited Samples: A Model-Agnostic Meta-Learning Approach

IEEE Communications Letters ◽

10.1109/lcomm.2021.3110775 ◽

2021 ◽

pp. 1-1

Author(s):

Ning Yang ◽

Bangning Zhang ◽

Guoru Ding ◽

Yimin Wei ◽

Guofeng Wei ◽

...

Keyword(s):

Learning Approach ◽

Meta Learning ◽

Specific Emitter Identification

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IMAL: An Improved Meta-learning Approach for Few-shot Classification of Plant Diseases

10.1109/bibe52308.2021.9635575 ◽

2021 ◽

Author(s):

Yingtao Wang ◽

Shunfang Wang

Keyword(s):

Plant Diseases ◽

Learning Approach ◽

Shot Classification ◽

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Environment Adaptive RFID based 3D Human Pose Tracking with a Meta-learning Approach

IEEE Journal of Radio Frequency Identification ◽

10.1109/jrfid.2022.3140256 ◽

2022 ◽

pp. 1-1

Author(s):

Chao Yang ◽

Lingxiao Wang ◽

Xuyu Wang ◽

Shiwen Mao

Keyword(s):

Learning Approach ◽

Pose Tracking ◽

Human Pose Tracking ◽

Meta Learning ◽

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Selecting Algorithms for the Quadratic Assignment Problem with a Multi-label Meta-Learning Approach

2018 7th Brazilian Conference on Intelligent Systems (BRACIS) ◽

10.1109/bracis.2018.00038 ◽

2018 ◽

Author(s):

Augusto Lopez Dantas ◽

Aurora Trinidad Ramirez Pozo

Keyword(s):

Assignment Problem ◽

Quadratic Assignment Problem ◽

Quadratic Assignment ◽

Learning Approach ◽

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Chapter 5. Meta-learning approach to regularization – case study: blood glucose prediction

Regularization Theory for Ill-posed Problems ◽

10.1515/9783110286496.255 ◽

2013 ◽

Keyword(s):

Blood Glucose ◽

Learning Approach ◽

Meta Learning ◽

Glucose Prediction

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A Meta-learning Approach for Protein Function Prediction

Advanced Computational Approaches to Biomedical Engineering ◽

10.1007/978-3-642-41539-5_5 ◽

2013 ◽

pp. 113-128

Author(s):

Dariusz Plewczynski ◽

Subhadip Basu

Keyword(s):

Protein Function ◽

Protein Function Prediction ◽

Function Prediction ◽

Learning Approach ◽

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A Meta-learning approach for recommending the number of clusters for clustering algorithms

Knowledge-Based Systems ◽

10.1016/j.knosys.2020.105682 ◽

2020 ◽

Vol 195 ◽

pp. 105682

Author(s):

Bruno Almeida Pimentel ◽

André C.P.L.F. de Carvalho

Keyword(s):

Clustering Algorithms ◽

Learning Approach ◽

Number Of Clusters ◽

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Machine Learning Approach improves the Quality of the MRI Images in Tumor Detection and Diagnosis: A PSO based Cluster Analysis

2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) ◽

10.1109/i2c2sw45816.2018.8997145 ◽

2018 ◽

Author(s):

V. Sivakumar ◽

N. Janakiraman ◽

S. Naganandhini

Keyword(s):

Machine Learning ◽

Cluster Analysis ◽

Tumor Detection ◽

Learning Approach ◽

Machine Learning Approach ◽

Detection And Diagnosis

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A Meta-Learning Approach to Methane Concentration Value Prediction

Communications in Computer and Information Science - Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery ◽

10.1007/978-3-319-34099-9_56 ◽

2016 ◽

pp. 716-726 ◽

Author(s):

Michał Kozielski

Keyword(s):

Methane Concentration ◽

Learning Approach ◽

Value Prediction ◽

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