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1. |
Record Nr. |
UNINA9910777833803321 |
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Autore |
Grünwald Peter D |
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Titolo |
The minimum description length principle / / Peter D. Grünwald |
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Pubbl/distr/stampa |
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Cambridge, Mass., : MIT Press, ©2007 |
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ISBN |
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1-282-09635-4 |
9786612096358 |
0-262-25629-0 |
1-4294-6560-3 |
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Descrizione fisica |
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1 online resource (736 p.) |
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Collana |
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Adaptive computation and machine learning |
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Disciplina |
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Soggetti |
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Minimum description length (Information theory) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [651]-673) and indexes. |
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Nota di contenuto |
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Contents; List of Figures; Series Foreword; Foreword; Preface; PART I - Introductory Material; 1 - Learning, Regularity, and Compression; 2 - Probabilistic and Statistical Preliminaries; 3 - Information-Theoretic Preliminaries; 4 - Information-Theoretic Properties of Statistical Models; 5 - Crude Two-Part Code MDL; PART II - Universal Coding; 6 - Universal Coding with Countable Models; 7 - Parametric Models: Normalized Maximum Likelihood; 8 - Parametric Models: Bayes; 9 - Parametric Models: Prequential Plug-in; 10 - Parametric Models: Two-Part; 11 - NMLWith Innite Complexity |
12 - Linear RegressionPART III - Refined MDL; 14 - MDL Model Selection; 15 - MDL Prediction and Estimation; 16 - MDL Consistency and Convergence; 17 - MDL in Context; PART IV - Additional Background; 18 - The Exponential or "Maximum Entropy" Families; 19 - Information-Theoretic Properties of Exponential Families; References; List of Symbols; Subject Index |
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Sommario/riassunto |
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A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learning, data min. |
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2. |
Record Nr. |
UNINA9910823121203321 |
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Autore |
Proud John F. |
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Titolo |
Master planning and scheduling : an essential guide to competitive manufacturing / / John F. Proud and Eric Deutsch |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : Wiley, , [2022] |
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©2022 |
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ISBN |
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1-119-80942-8 |
1-119-80943-6 |
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Edizione |
[Fourth edition.] |
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Descrizione fisica |
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1 online resource (962 pages) |
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Collana |
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The Oliver Wight companies |
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Disciplina |
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Soggetti |
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Production scheduling |
Manufacturing resource planning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Sommario/riassunto |
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Discover the practical, real-world advantages of the Oliver Wight master planning and scheduling methodology. The newly revised Fourth Edition of Master Planning and Scheduling: An Essential Guide to Competitive Manufacturing delivers a masterful exploration of today's master planning and scheduling techniques, as well as an insightful discussion of the future of the master planning and scheduling processes and profession. Written in the context of an ever-evolving digital environment and augmented with new and critical information required to implement best practices, the book is a guide for practitioners and leaders on the principles of master planning and scheduling and its application in modern and future work environments. In this book, readers will learn: Insights regarding top-down, bottom-up, and side-to-side integration of business practices in support of a company's strategic direction and tactical deployment The critical link between time-phased integrated business planning, master planning, master scheduling, capacity planning, and material planning "How-to" details and examples to support master planning and scheduling implementation and enhancements within the company's demand and supply organizations Master Planning and Scheduling is an |
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indispensable guide for supply chain professionals, planners and schedulers in all functional domains of a business. It also belongs on the bookshelves of any executive or manager who seeks to improve their understanding of best practice planning and scheduling processes and how those processes enable a business to outperform the competition through alignment, integration and synchronization across all functions in an organization |
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