Biblioteca Digital

134 resultados para Machine to Machine

em Cambridge University Engineering Department Publications Database

From design errors to design opportunities using a machine learning approach

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Faster and better: a machine learning approach to corner detection

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A machine learning-based approach to accelerating computational Computational Design

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Machine-learning approach for one- and two-body corrections to density functional theory: Applications to molecular and condensed water

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Decoding the matrix: benefits and limitations of applying machine learning algorithms to pain neuroimaging.

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Decoding the matrix: Benefits and limitations of applying machine learning algorithms to pain neuroimaging

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Efficient path counting transducers for minimum Bayes-risk decoding of statistical machine translation lattices

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Fluency constraints for minimum Bayes-risk decoding of statistical machine translation lattices

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Context-dependent alignment models for statistical machine translation

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Large-scale statistical machine translation with weighted finite state transducers

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Colour invariants for machine face recognition

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Phrasal segmentation models for statistical machine translation

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Integrating a new machine into an existing manufacturing system by using Holonic approach

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Speech recognition system combination for machine translation

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Consensus network decoding for statistical machine translation system combination

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