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Št. zadetkov: 2
Grammatical Inference as a Principal Component Analysis Problem
Raphaël Bailly
Video in druga učna gradiva
Oznake: computer science;machine learning;principal component analysis;human language technology
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribu- tion, in some class of probabilistic models, from a sample of words independently drawn according to a fixed unknown target distribution p. Here we consider the ...
Leto: 2009 Vir: videolectures.net
Unsupervised Spectral Learning of Finite State Transducers
Raphaël Bailly
Video in druga učna gradiva
Oznake: computer science;machine learning
Finite-State Transducers (FST) are a standard tool for modeling paired input-output sequences and are used in numerous applications, ranging from computational biology to natural language processing. Recently Balle et al. presented a spectral algorithm for learning FST from samples of aligned input- ...
Leto: 2014 Vir: videolectures.net
Št. zadetkov: 2
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