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Formal Models of Language Learning
Cognition, 1979Abstract Research is reviewed that addresses itself to human language learning by developing precise, mechanistic models that are capable in principle of acquiring languages on the basis of exposure to linguistic data. Such research includes theorems on language learnability from mathematical linguistics, computer models of language acquisition from ...
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MODELING ECONOMIC LEARNING AS MODELING
Cybernetics and Systems, 1998Economists tend to represent learning as a procedure for estimating the parameters of the ''correct'' econometric model. We extend this approach by assuming that agents specify as well as estimate models. Learning thus takes the form of a dynamic process of developing models using an internal language of representation where expectations are formed by ...
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Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies
Ca-A Cancer Journal for Clinicians, 2022Paolo Tarantino +2 more
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
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2016
The main objective of this chapter is to discuss various supervised learning models in detail. The supervised learning models provide parametrized mapping that projects a data domain into a response set, and thus helps extract knowledge (known) from data (unknown).
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The main objective of this chapter is to discuss various supervised learning models in detail. The supervised learning models provide parametrized mapping that projects a data domain into a response set, and thus helps extract knowledge (known) from data (unknown).
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The biofilm life cycle: expanding the conceptual model of biofilm formation
Nature Reviews Microbiology, 2022Karin Sauer +2 more
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