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作者 Robare, Rebecca J
書名 Semi-supervised learning for connectionist networks
國際標準書號 9781124290928
book jacket
說明 117 p
附註 Source: Dissertation Abstracts International, Volume: 71-11, Section: B, page:
Adviser: Robert D. Melara
Thesis (Ph.D.)--City University of New York, 2010
At the computational level, language is often assumed to require both supervised and unsupervised learning. Although we have a certain understanding of these computational processes both biologically and behaviorally, our understanding of the environmental conditions under which language learning takes place falls short. I examine the semi-supervised learning paradigm as the most accurate computational description of the environmental conditions of lexical acquisition during language development. This paradigm is assessed for task learning and generalization and I argue that its real ecological validity and occasional improvements in performance over supervised learning make it an ideal candidate for modeling of language acquisition and other learning problems
School code: 0046
Host Item Dissertation Abstracts International 71-11B
主題 Psychology, Developmental
Psychology, Cognitive
Computer Science
Alt Author City University of New York. Psychology
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