Amanote Research

Amanote Research

    RegisterSign In

A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems

doi 10.1109/icmla.2014.23
Full Text
Open PDF
Abstract

Available in full text

Date

December 1, 2014

Authors
Fernando Martinez PlumedCesar FerriJose Hernandez OralloMaria Jose Ramirez Quintana
Publisher

IEEE


Related search

Growth Potential Aware Virtual Machine Consolidation Framework

2020English

Quality Assurance, Knowledge-Based Systems, and Machine Learning

Medical Decision Making
Health Policy
1991English

A Study on Knowledge-Based Context Aware Framework Using Machine Learning

2016English

Machine Learning and Knowledge Extraction

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2019English

A Machine Learning and Cognition-Based Framework for Assessing Academic Performance

Advances in Multidisciplinary & Scientific Research Journal Publication
2019English

Lifelong Learning for Tourism

Annals of Tourism Research
DevelopmentTourismHospitality ManagementLeisure
2012English

Machine Learning for Cyber Physical Systems

Technologien für die intelligente Automation
2020English

A Machine Learning Framework for TCP Round-Trip Time Estimation

Eurasip Journal on Wireless Communications and Networking
Computer NetworksComputer Science ApplicationsSignal ProcessingCommunications
2014English

Machine Learning and Configurable Systems

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy