爱国者
发表于 2025-3-25 06:09:15
Book 1983learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observ
浪费物质
发表于 2025-3-25 08:09:21
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内部
发表于 2025-3-25 12:06:31
A Theory and Methodology of Inductive Learningckground knowledge, and guided by criteria evaluating the “quality” of generated inductive assertions..Based on this theory, a general methodology for learning structural descriptions from examples, called ., is described and illustrated by a problem from the area of conceptual data analysis.
gregarious
发表于 2025-3-25 17:49:05
Why Should Machines Learn?ith machine learning. Now although we all believe machines can simulate human thought—unless we’re vitalists, and there aren’t any of those around any more—still, I didn’t think that was what was intended by the title of the book. I didn’t think it was appropriate to write about psychology.
禁止,切断
发表于 2025-3-25 23:22:08
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dura-mater
发表于 2025-3-26 02:10:36
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冒号
发表于 2025-3-26 05:00:28
Using Proofs and Refutations to Learn from Experienceeory fix produces as a by-product new domain concepts that capture environmental characteristics of instrumental value to the learner. The techniques proposed here provide the first analytical methods for constructing new knowledge. They extend and make practical the ideas of proofs and refutations originally introduced by Lakatos.
镀金
发表于 2025-3-26 10:16:58
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minaret
发表于 2025-3-26 14:12:04
Rediscovering Chemistry with the Bacon Systemt Proust’s law of definite proportions, Gay-Lussac’s law of combining volumes, Cannizzaro’s determination of the relative atomic weights, and Prout’s hypothesis. The BACON.4 heuristics, including the new technique for finding common divisors, appear to be general mechanisms applicable to discovery in diverse domains.
琐碎
发表于 2025-3-26 17:24:37
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