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Hidden Markov Models for Bioinformatics de T. Koski

Hidden Markov Models for Bioinformatics: Computational Biology, cartea 2

Autor T. Koski
en Limba Engleză Hardback – 30 noi 2001

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Specificații

ISBN-13: 9781402001352
ISBN-10: 1402001355
Pagini: 414
Ilustrații: XVII, 391 p.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.73 kg
Ediția:2002
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Computational Biology

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

1 Prerequisites in probability calculus.- 2 Information and the Kullback Distance.- 3 Probabilistic Models and Learning.- 4 EM Algorithm.- 5 Alignment and Scoring.- 6 Mixture Models and Profiles.- 7 Markov Chains.- 8 Learning of Markov Chains.- 9 Markovian Models for DNA sequences.- 10 Hidden Markov Models an Overview.- 11 HMM for DNA Sequences.- 12 Left to Right HMM for Sequences.- 13 Derin’s Algorithm.- 14 Forward—Backward Algorithm.- 15 Baum—Welch Learning Algorithm.- 16 Limit Points of Baum-Welch.- 17 Asymptotics of Learning.- 18 Full Probabilistic HMM.