
By Uffe B. Kjærulff,Anders L. Madsen
Bayesian Networks and impression Diagrams: A consultant to development and research offers a entire advisor for practitioners who desire to comprehend, build, and examine clever platforms for choice aid according to probabilistic networks. meant essentially for practitioners, this ebook doesn't require subtle mathematical talents or deep knowing of the underlying conception and techniques nor does it talk about replacement applied sciences for reasoning lower than uncertainty. the speculation and techniques offered are illustrated via greater than a hundred and forty examples, and workouts are integrated for the reader to ascertain his/her point of knowing.
The concepts and techniques awarded for wisdom elicitation, version building and verification, modeling ideas and tips, studying types from info, and analyses of versions have all been constructed and subtle at the foundation of various classes that the authors have held for practitioners worldwide.
Read or Download Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics) PDF
Similar mathematical & statistical books
Algebra, Geometry and Software Systems
A set of surveys and learn papers on mathematical software program and algorithms. the typical thread is that the sector of mathematical functions lies at the border among algebra and geometry. subject matters contain polyhedral geometry, removing concept, algebraic surfaces, Gröbner bases, triangulations of element units and the mutual dating.
Statistical Methods for Ranking Data (Frontiers in Probability and the Statistical Sciences)
This e-book introduces complicated undergraduate, graduate scholars and practitioners to statistical tools for score information. a huge element of nonparametric facts is orientated in the direction of using rating info. Rank correlation is outlined during the thought of distance features and the proposal of compatibility is brought to accommodate incomplete information.
Der mathematische Ratgeber für die ersten beiden Studienjahre! Wer im Nebenfach Mathematik studieren muß, findet hier das wesentliche mathematische Wissen übersichtlich zusammengestellt und ausführlich erklärt! Viele Beispiele, ein umfangreicher Übungsteil und die konsequente Einbeziehung von WolframAlpha, der freien „Wissensmaschine“ von Wolfram examine, geben Hilfe und Orientierung beim Erlernen der Mathematik an Hochschulen.
NEURAL NETWORKS. Applications and examples using MATLAB
MATLAB has the instrument Neural community Toolbox that gives algorithms, capabilities, and apps to create, teach, visualize, and simulate neural networks. you could practice class, regression, clustering, dimensionality aid, time-series forecasting, and dynamic method modeling and regulate. The toolbox contains convolutional neural community and autoencoder deep studying algorithms for photo type and have studying projects.
- Quantitative Trading with R: Understanding Mathematical and Computational Tools from a Quant’s Perspective
- Uncertainty Reasoning for the Semantic Web III: ISWC International Workshops, URSW 2011-2013, Revised Selected Papers (Lecture Notes in Computer Science)
- Modelling Metabolism with Mathematica: Analysis of Human Erythrocyte
- Handbook of Computational Approaches to Counterterrorism
- A Matlab Companion for Multivariable Calculus
Additional resources for Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)
Example text