
Kevin T. Kelly. Learning Theory and Descriptive Set Theory.
language learnability, Memory and learning in psychology, \(n\)-trial predicates, Learning and adaptive systems in artificial intelligence, recursive function identification, hypothesis assessment, Borel complexity, formal learning theory, FOS: Philosophy, ethics and religion, Philosophy not elsewhere classified, Philosophy, arithmetical complexity, ideal scientists, Applications of computability and recursion theory, computable scientists, inductive inference, Descriptive set theory
language learnability, Memory and learning in psychology, \(n\)-trial predicates, Learning and adaptive systems in artificial intelligence, recursive function identification, hypothesis assessment, Borel complexity, formal learning theory, FOS: Philosophy, ethics and religion, Philosophy not elsewhere classified, Philosophy, arithmetical complexity, ideal scientists, Applications of computability and recursion theory, computable scientists, inductive inference, Descriptive set theory
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
