Reliability of Training Data Sets for ML Classifiers: A Lesson Learned From Mechanical Engineering

doi 10.24251/hicss.2020.111
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Hawaii International Conference on System Sciences

Related search

ML-Like Inference for Classifiers

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Pulmonary Capillary Hemangiomatosis: A Lesson Learned

Autopsy and Case Reports
2019English

Disaster Recovery of the INFN Tier–1 Data Center: Lesson Learned

EPJ Web of Conferences
AstronomyPhysics
2019English

A Wrapper for Reweighting Training Instances for Handling Imbalanced Data Sets

English

A Health Policy Lesson Learned, or Not

Pediatrics
Child HealthPediatricsPerinatology
2014English

Methodologies of Knowledge Discovery From Data and Data Mining Methods in Mechanical Engineering

Management and Production Engineering Review
IndustrialBusinessOrganizational BehaviorHuman Resource ManagementInternational ManagementManufacturing EngineeringManagement ScienceInnovationManagement of TechnologyOperations Research
2016English

The Direct Derivation of Reliability Model of Mechanical Items From Field Data

JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN
1981English

A Lesson Learned From the MERS Epidemic in Korea: An Essay on MERS

Epidemiology and health
Medicine
2015English

Learning From Little: Comparison of Classifiers Given Little Training

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2004English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy