This review aims to draw a systematic review of the state of the art of incremental learning methods.
Oct 22, 2020 · This review aims to draw a systematic review of the state of the art of incremental learning methods.
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It is concluded that incremental learning is still a hot research area and will be for a long period and more attention should be paid to the exploration of ...
As a special case of machine learning, incremental learning can acquire useful knowledge from incoming data continuously while it does not need to access ...
Dec 5, 2022 · We describe three fundamental types, or 'scenarios', of continual learning: task-incremental, domain-incremental and class-incremental learning.
This paper presents a sequential learning method aimed at improving the performance of a lightweight deep learning model used for detecting fires at an early ...
Nov 3, 2020 · The ability of artificial agents to increment their capabilities when confronted with new data is an open challenge in artificial intelligence.
Apr 16, 2024 · Incremental learning is an educational approach that gradually accumulates knowledge through the years by introducing new data in small, manageable increments.
Incremental learning is a machine learning paradigm where the learning process takes place whenever new example(s) emerge and adjusts what has been learned ...
Jun 29, 2023 · Incremental learning is a methodology of machine learning where an AI model learns new information over time, maintaining and building upon previous knowledge.
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