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#236 Pedro Domingo’s on Bayesians and Analogical Learning in AI

Eye On A.I.

CHAPTER

Analogical Reasoning and Machine Learning

This chapter explores the role of analogical reasoning in psychology and its applications in machine learning, particularly through structural mapping. It highlights the development and advantages of support vector machines and nearest neighbor algorithms, tracing their historical context and relevance. The discussion also reflects on the cyclical nature of machine learning techniques and the simplification of complex models, emphasizing SVM’s effectiveness in high-dimensional tasks.

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