[26] Kevin Ellis - Algorithms for Learning to Induce Programs
The Thesis Review
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Bayesian Insights and Visual Cognition
This chapter examines how Bayesian frameworks relate to human cognition, suggesting these models reflect human thought processes. It explores the transition from theoretical neuroscience to practical applications in computer science, particularly in understanding visual perception. The discussion also includes the integration of classical symbolic AI with neural networks, emphasizing the importance of teaching systems to effectively recognize and utilize symbols in the context of visual data.
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