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What is Meta-Learning

Chapter 12
Philosophy of Artificial Intelligence and Its Place in Society
A subset of machine learning that applies a learning algorithm to look at the meta-features of existing machine learning experiments so that it can be further improved.
Published in Chapter:
Mind Uploading in Artificial Intelligence
Jason Wissinger (Waynesburg University, USA) and Elizabeth Baoying Wang (Waynesburg University, USA)
Copyright: © 2023 |Pages: 12
DOI: 10.4018/978-1-6684-9591-9.ch012
Abstract
Mind uploading is the futurist idea of emulating all brain processes of an individual on a computer. Progress towards achieving this technology is currently limited by society's capability to study the human brain and the development of complex artificial neural networks capable of emulating the brain's architecture. The goal of this chapter is to provide a brief history of both categories, discuss the progress made, and note the roadblocks hindering future research. Then, by examining the roadblocks of neuroscience and artificial intelligence together, this chapter will outline a way to overcome their respective limitations by using the other field's strengths.
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Chapter 39
Game-Based Learning with a Dialogic Teaching Approach: A Case of Deep Learning and the Use of SporeTM in A-Level Biology Lessons
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Chapter 368
Knowledge Combination vs. Meta-Learning
It investigates how learning systems may improve their performance through experience in order to become flexible. Its goal is to search dynamically for the best learning strategy.
Published in Chapter: Knowledge Combination vs. Meta-Learning; From: Encyclopedia of Information Science and Technology, Second Edition
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