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The Bioinformatics : Machine Learning Approach.
A guide to machine learning approaches and their application to the analysis of biological data.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
MIT Press
2001.
|
| Colección: | Adaptive computation and machine learning Bioinformatics
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000M 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn815776271 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr un|---uuuuu | ||
| 008 | 121012s2001 xx o 000 0 eng d | ||
| 040 | |a IDEBK |b eng |e pn |c IDEBK |d OCLCQ |d EBLCP |d OCLCQ |d LIP |d OCLCQ |d MERUC |d OCLCO |d OCLCQ |d OCLCO |d ZCU |d OCLCO |d OCLCA |d OCLCF |d OCLCO |d ICG |d OCLCQ |d UMR |d OCLCO |d DKC |d OCLCO |d OCLCQ |d OCLCA |d SFB |d OCLCO |d OCLCQ |d OCL |d OCLCO |d OCLCL | ||
| 019 | |a 743198077 |a 990538753 | ||
| 020 | |a 1282096087 | ||
| 020 | |a 9781282096080 | ||
| 029 | 1 | |a DEBBG |b BV044105222 | |
| 035 | |a (OCoLC)815776271 |z (OCoLC)743198077 |z (OCoLC)990538753 | ||
| 050 | 4 | |a QH506 | |
| 060 | 4 | |a QH 506 |b B177b 2001 | |
| 072 | 7 | |a K |2 bicssc | |
| 082 | 0 | 4 | |a 572.8 |
| 049 | |a UAMI | ||
| 245 | 0 | 4 | |a The Bioinformatics : |b Machine Learning Approach. |
| 260 | |b MIT Press |c 2001. | ||
| 300 | |a 1 online resource (477 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 0 | |a Adaptive computation and machine learning Bioinformatics | |
| 520 | |a A guide to machine learning approaches and their application to the analysis of biological data. | ||
| 505 | 0 | |a Series Foreword; Preface; 1 Introduction; 2 Machine-Learning Foundations: The Probabilistic Framework; 3 Probabilistic Modeling and Inference: Examples; 4 Machine Learning Algorithms; 5 Neural Networks: The Theory; 6 Neural Networks: Applications; 7 Hidden Markov Models: The Theory; 8 Hidden Markov Models: Applications; 9 Probabilistic Graphical Models in Bioinformatics; 10 Probabilistic Models of Evolution: Phylogenetic Trees; 11 Stochastic Grammars and Linguistics; 12 Microarrays and Gene Expression; 13 Internet Resources and Public Databases; A Statistics. | |
| 505 | 8 | |a B Information Theory, Entropy, and Relative EntropyC Probabilistic Graphical Models; D HMM Technicalities, Scaling, Periodic Architectures, State Functions, and Dirichlet Mixtures; E Gaussian Processes, Kernel Methods, and Support Vector Machines; F Symbols and Abbreviations; References; Index. | |
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Bioinformatics |x Computer simulation. | |
| 650 | 0 | |a Molecular biology |x Mathematical models. | |
| 650 | 0 | |a Molecular biology. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Markov processes. | |
| 650 | 0 | |a Stochastic processes. | |
| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Biology. | |
| 650 | 0 | |a Statistics. | |
| 650 | 0 | |a Life sciences. | |
| 650 | 0 | |a Physical sciences. | |
| 650 | 0 | |a Public health. | |
| 650 | 0 | |a Medical care. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Mathematical models. | |
| 650 | 2 | |a Stochastic Processes | |
| 650 | 2 | |a Mathematical Concepts | |
| 650 | 2 | |a Computing Methodologies | |
| 650 | 2 | |a Probability | |
| 650 | 2 | |a Pattern Recognition, Automated | |
| 650 | 2 | |a Investigative Techniques | |
| 650 | 2 | |a Biology | |
| 650 | 2 | |a Phenomena and Processes | |
| 650 | 2 | |a Statistics as Topic | |
| 650 | 2 | |a Information Science | |
| 650 | 2 | |a Biological Science Disciplines | |
| 650 | 2 | |a Analytical, Diagnostic and Therapeutic Techniques and Equipment | |
| 650 | 2 | |a Epidemiologic Methods | |
| 650 | 2 | |a Health Care Evaluation Mechanisms | |
| 650 | 2 | |a Natural Science Disciplines | |
| 650 | 2 | |a Public Health | |
| 650 | 2 | |a Quality of Health Care | |
| 650 | 2 | |a Disciplines and Occupations | |
| 650 | 2 | |a Environment and Public Health | |
| 650 | 2 | |a Health Care Quality, Access, and Evaluation | |
| 650 | 2 | |a Delivery of Health Care | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 2 | |a Computational Biology | |
| 650 | 2 | |a Markov Chains | |
| 650 | 2 | |a Models, Theoretical | |
| 650 | 2 | |a Molecular Biology | |
| 650 | 2 | |a Machine Learning | |
| 650 | 2 | |a Patient Care | |
| 650 | 6 | |a Bio-informatique |x Simulation par ordinateur. | |
| 650 | 6 | |a Biologie moléculaire |x Modèles mathématiques. | |
| 650 | 6 | |a Biologie moléculaire. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Processus de Markov. | |
| 650 | 6 | |a Processus stochastiques. | |
| 650 | 6 | |a Probabilités. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 6 | |a Biologie. | |
| 650 | 6 | |a Statistiques. | |
| 650 | 6 | |a Sciences de la vie. | |
| 650 | 6 | |a Sciences physiques. | |
| 650 | 6 | |a Santé publique. | |
| 650 | 6 | |a Prestation de soins. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Modèles mathématiques. | |
| 650 | 6 | |a Statistique. | |
| 650 | 6 | |a Soins médicaux. | |
| 650 | 7 | |a molecular biology. |2 aat | |
| 650 | 7 | |a probability. |2 aat | |
| 650 | 7 | |a biology. |2 aat | |
| 650 | 7 | |a biological sciences. |2 aat | |
| 650 | 7 | |a physical sciences. |2 aat | |
| 650 | 7 | |a public health. |2 aat | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a mathematical models. |2 aat | |
| 650 | 7 | |a statistics. |2 aat | |
| 650 | 7 | |a Stochastic processes |2 fast | |
| 650 | 7 | |a Statistics |2 fast | |
| 650 | 7 | |a Public health |2 fast | |
| 650 | 7 | |a Probabilities |2 fast | |
| 650 | 7 | |a Physical sciences |2 fast | |
| 650 | 7 | |a Pattern recognition systems |2 fast | |
| 650 | 7 | |a Medical care |2 fast | |
| 650 | 7 | |a Mathematical models |2 fast | |
| 650 | 7 | |a Life sciences |2 fast | |
| 650 | 7 | |a Computational biology |2 fast | |
| 650 | 7 | |a Biology |2 fast | |
| 650 | 7 | |a Bioinformatics |2 fast | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Markov processes |2 fast | |
| 650 | 7 | |a Molecular biology |2 fast | |
| 650 | 7 | |a Molecular biology |x Mathematical models |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 700 | 1 | |a Brunak, Søren. |4 aut | |
| 720 | |a Baldi, Pierre. | ||
| 758 | |i has work: |a Bioinformatics (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFxpbdfJFCM64MhYtxfqjP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3338802 |z Texto completo |
| 938 | |a EBL - Ebook Library |b EBLB |n EBL3338802 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n 209608 | ||
| 994 | |a 92 |b IZTAP | ||