Advanced Methodologies for Bayesian Networks: Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings: Lecture Notes in Computer Science, cartea 9505
Editat de Joe Suzuki, Maomi Uenoen Limba Engleză Paperback – 25 feb 2016
This volume constitutes the refereed proceedings of theSecond International Workshop on Advanced Methodologies for Bayesian Networks,AMBN 2015, held in Yokohama, Japan, in November 2015.
The 18 revised full papers and 6 invited abstractspresented were carefully reviewed and selected from numerous submissions. Inthe International Workshop on Advanced Methodologies for Bayesian Networks(AMBN), the researchers explore methodologies for enhancing the effectivenessof graphical models including modeling, reasoning, model selection,logic-probability relations, and causality. The exploration of methodologies iscomplemented discussions of practical considerations for applying graphicalmodels in real world settings, covering concerns like scalability, incrementallearning, parallelization, and so on.
The 18 revised full papers and 6 invited abstractspresented were carefully reviewed and selected from numerous submissions. Inthe International Workshop on Advanced Methodologies for Bayesian Networks(AMBN), the researchers explore methodologies for enhancing the effectivenessof graphical models including modeling, reasoning, model selection,logic-probability relations, and causality. The exploration of methodologies iscomplemented discussions of practical considerations for applying graphicalmodels in real world settings, covering concerns like scalability, incrementallearning, parallelization, and so on.
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Specificații
ISBN-13: 9783319283784
ISBN-10: 3319283782
Pagini: 265
Ilustrații: XVIII, 265 p. 102 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3319283782
Pagini: 265
Ilustrații: XVIII, 265 p. 102 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Effectivenessof graphical models including modeling. Reasoning, model selection.- Logic-probabilityrelations.- Causality. Applying graphical models in real world settings.- Scalability.- Incremental learning.-Parallelization.
Textul de pe ultima copertă
This volume constitutes the refereed proceedings of theSecond International Workshop on Advanced Methodologies for Bayesian Networks,AMBN 2015, held in Yokohama, Japan, in November 2015.
The 18 revised full papers and 6 invited abstractspresented were carefully reviewed and selected from numerous submissions. Inthe International Workshop on Advanced Methodologies for Bayesian Networks(AMBN), the researchers explore methodologies for enhancing the effectivenessof graphical models including modeling, reasoning, model selection,logic-probability relations, and causality. The exploration of methodologies iscomplemented discussions of practical considerations for applying graphicalmodels in real world settings, covering concerns like scalability, incrementallearning, parallelization, and so on.
The 18 revised full papers and 6 invited abstractspresented were carefully reviewed and selected from numerous submissions. Inthe International Workshop on Advanced Methodologies for Bayesian Networks(AMBN), the researchers explore methodologies for enhancing the effectivenessof graphical models including modeling, reasoning, model selection,logic-probability relations, and causality. The exploration of methodologies iscomplemented discussions of practical considerations for applying graphicalmodels in real world settings, covering concerns like scalability, incrementallearning, parallelization, and so on.
Caracteristici
Includes supplementary material: sn.pub/extras