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A Guide To Graphical Models And Graphical Modeling In Spartan Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of A Guide To Graphical Models And Graphical Modeling In Spartan book. This book definitely worth reading, it is an incredibly well-written.
Author : Warren J. Hehre,W. Wayne Huang,Janet E. Nelson
Publisher : Unknown
Page : 99 pages
File Size : 55,5 Mb
Release : 1997-06-01
Category : Electronic
ISBN : 1890661015
Author : Warren J. Hehre,Liang Lou
Publisher : Unknown
Page : 94 pages
File Size : 41,5 Mb
Release : 1997
Category : Computers
ISBN : 0964349590
Author : Warren J. Hehre
Publisher : Unknown
Page : 210 pages
File Size : 50,9 Mb
Release : 1997-06
Category : Computers
ISBN : 1890661031
Author : Anonim
Publisher : Unknown
Page : 472 pages
File Size : 52,8 Mb
Release : 1999
Category : Antiquarian booksellers
ISBN : UOM:39015049259933
Author : David J. Barnes,Dominique Chu
Publisher : Springer
Page : 347 pages
File Size : 47,9 Mb
Release : 2015-09-01
Category : Computers
ISBN : 9781447167624
This accessible text presents a detailed introduction to the use of a wide range of software tools and modeling environments for use in the biosciences, as well as the fundamental mathematical background. The practical constraints presented by each modeling technique are described in detail, enabling the researcher to determine which software package would be most useful for a particular problem. Features: introduces a basic array of techniques to formulate models of biological systems, and to solve them; discusses agent-based models, stochastic modeling techniques, differential equations, spatial simulations, and Gillespie’s stochastic simulation algorithm; provides exercises; describes such useful tools as the Maxima algebra system, the PRISM model checker, and the modeling environments Repast Simphony and Smoldyn; contains appendices on rules of differentiation and integration, Maxima and PRISM notation, and some additional mathematical concepts; offers supplementary material at an associated website.
Author : Paolo Giudici
Publisher : John Wiley & Sons
Page : 379 pages
File Size : 55,9 Mb
Release : 2005-09-27
Category : Computers
ISBN : 9780470871393
Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.
Author : Katya Tsaioun,Steven A. Kates
Publisher : John Wiley & Sons
Page : 454 pages
File Size : 45,5 Mb
Release : 2011-02-15
Category : Medical
ISBN : 9780470922811
This book guides medicinal chemists in how to implement early ADMET testing in their workflow in order to improve both the speed and efficiency of their efforts. Although many pharmaceutical companies have dedicated groups directly interfacing with drug discovery, the scientific principles and strategies are practiced in a variety of different ways. This book answers the need to regularize the drug discovery interface; it defines and reviews the field of ADME for medicinal chemists. In addition, the scientific principles and the tools utilized by ADME scientists in a discovery setting, as applied to medicinal chemistry and structure modification to improve drug-like properties of drug candidates, are examined.
Author : Uri Wilensky,William Rand
Publisher : MIT Press
Page : 505 pages
File Size : 43,9 Mb
Release : 2015-04-17
Category : Computers
ISBN : 9780262328135
A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.
Author : Francis A. Carey
Publisher : Unknown
Page : 1308 pages
File Size : 51,5 Mb
Release : 2000
Category : Science
ISBN : STANFORD:36105129682238
"A Market Leading, Traditional Approach to Organic Chemistry" Throughout all seven editions, Organic Chemistry has been designed to meet the needs of the "mainstream," two-semester, undergraduate organic chemistry course. This best-selling text gives students a solid understanding of organic chemistry by stressing how fundamental reaction mechanisms function and reactions occur. With the addition of handwritten solutions, new cutting-edge molecular illustrations, updated spectroscopy coverage, seamless integration of molecular modeling exercises, and state-of-the-art multimedia tools, the 7th edition of Organic Chemistry clearly offers the most up-to-date approach to the study of organic chemistry.
Author : Silvio Carta
Publisher : John Wiley & Sons
Page : 676 pages
File Size : 55,8 Mb
Release : 2022-06-07
Category : Architecture
ISBN : 9781119749622
Machine Learning and the City Explore the applications of machine learning and artificial intelligence to the built environment Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learning Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments Practical discussions of the consequences of applied machine learning and the future of urban design Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.
Author : Wavefunction, Incorporated
Publisher : Unknown
Page : 116 pages
File Size : 46,5 Mb
Release : 1999-03
Category : Computers
ISBN : 1890661090
Author : Wavefunction, Incorporated
Publisher : Unknown
Page : 152 pages
File Size : 41,5 Mb
Release : 2006-01-01
Category : Electronic
ISBN : 1890661317
Author : Anonim
Publisher : Unknown
Page : 900 pages
File Size : 43,9 Mb
Release : 1985
Category : Government publications
ISBN : UIUC:30112063912023
Author : Jared P. Lander
Publisher : Addison-Wesley Professional
Page : 464 pages
File Size : 44,8 Mb
Release : 2013-12-20
Category : Computers
ISBN : 9780133257151
Statistical Computation for Programmers, Scientists, Quants, Excel Users, and Other Professionals Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES • Exploring R, RStudio, and R packages • Using R for math: variable types, vectors, calling functions, and more • Exploiting data structures, including data.frames, matrices, and lists • Creating attractive, intuitive statistical graphics • Writing user-defined functions • Controlling program flow with if, ifelse, and complex checks • Improving program efficiency with group manipulations • Combining and reshaping multiple datasets • Manipulating strings using R’s facilities and regular expressions • Creating normal, binomial, and Poisson probability distributions • Programming basic statistics: mean, standard deviation, and t-tests • Building linear, generalized linear, and nonlinear models • Assessing the quality of models and variable selection • Preventing overfitting, using the Elastic Net and Bayesian methods • Analyzing univariate and multivariate time series data • Grouping data via K-means and hierarchical clustering • Preparing reports, slideshows, and web pages with knitr • Building reusable R packages with devtools and Rcpp • Getting involved with the R global community
Author : United States. Superintendent of Documents
Publisher : Unknown
Page : 1396 pages
File Size : 46,5 Mb
Release : 1985
Category : Government publications
ISBN : MINN:31951T002181019
February issue includes Appendix entitled Directory of United States Government periodicals and subscription publications; September issue includes List of depository libraries; June and December issues include semiannual index
