Latent features in similarity judgments: a nonparametric bayesian approach.
about
Error-driven learning in visual categorization and object recognition: a common-elements model.Explaining compound generalization in associative and causal learning through rational principles of dimensional generalization.From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought ApproachView-invariance learning in object recognition by pigeons depends on error-driven associative learning processes.Geometric and featural representations in semantic concepts.Leaping to Conclusions: Why Premise Relevance Affects Argument Strength.A rational analysis of the acquisition of multisensory representations.The Novel Object and Unusual Name (NOUN) Database: A collection of novel images for use in experimental research.Economic complexity unfolded: Interpretable model for the productive structure of economies
P2860
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P2860
Latent features in similarity judgments: a nonparametric bayesian approach.
description
2008 nî lūn-bûn
@nan
2008 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Latent features in similarity judgments: a nonparametric bayesian approach.
@ast
Latent features in similarity judgments: a nonparametric bayesian approach.
@en
type
label
Latent features in similarity judgments: a nonparametric bayesian approach.
@ast
Latent features in similarity judgments: a nonparametric bayesian approach.
@en
prefLabel
Latent features in similarity judgments: a nonparametric bayesian approach.
@ast
Latent features in similarity judgments: a nonparametric bayesian approach.
@en
P2860
P1433
P1476
Latent features in similarity judgments: a nonparametric bayesian approach.
@en
P2860
P304
P356
10.1162/NECO.2008.04-07-504
P577
2008-11-01T00:00:00Z