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机器学习是人工智能的一个子领域,是人工智能中非常活跃且范围甚广的主要核心研究领域之一,也是现代智能系统的关键环节和瓶颈。机器学习吸取了人工智能、概率统计、计算复杂性理论、控制论、信息论、哲学、生理学、神经生物学等学科的成果,主要关注于开发一些让计算机可以自动学习的技术,并通过经验提高系统自身的性能。本文介绍了机器学习的概念、基本结构和发展,以及各种机器学习方法,包括机械学习、归纳学习、类比学习、解释学习、基于神经网络的学习以及知识发现等,并简单叙述了机器学习的相关算法,包括决策树算法、随机森林算
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This chapter introduces a new computational intelligence paradigm to perform
pattern recognition, named Artificial Immune Systems (AIS). AIS take inspiration
from the immune system in order to build novel computational tools to solve
problems i
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Autonomous vehicles are defined as vehicle that get one point to another point without human interaction & implement a number of well placed sensors that detect different things such as other vehicles, people, traffic lights, and movement of other ve
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