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Graphic arts --- Graphic methods --- Computer graphics --- Arts graphiques --- Méthodes graphiques --- Infographie --- Computer graphics. --- Graphic arts. --- Graphic methods.
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Graphic arts --- Graphic methods --- Computer graphics --- Arts graphiques --- Méthodes graphiques --- Infographie
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Spectrum analysis --- Spectrum, Solar. --- Visual communication. --- Graphic methods. --- History. --- Druktechnieken --- Drukken --- Fotografie --- Spectroscopie --- Spectrumanalyse --- Druktechniek --- Geschiedenis --- Geneeskunde --- Techniek (wetenschap) --- Atlas --- Museum --- Ecologie
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Arithmetic --- Arithmétique --- Counting --- Calcul --- Mathématiques --- Mathematics --- Mathématiques --- Mathematics --- Méthodes graphiques --- Abaques (mathématiques) --- Graphic methods --- Abacus --- Étude et enseignement --- Study and teaching --- Histoire. --- History.
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Mathematical statistics --- #PBIB:2003.3 --- #SBIB:303H10 --- #SBIB:303H523 --- Methoden en technieken: algemene handboeken en reeksen --- Methoden sociale wetenschappen: associatie, correlatie --- Correlation (Statistics) --- Correlation (Statistics). --- Least squares --- Probabilities --- Regression analysis --- Statistics --- Instrumental variables (Statistics) --- Graphic methods
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Experimental design --- Response surfaces (Statistics) --- Plan d'expérience --- Experimental design. --- Basic Sciences. Statistics --- Experimental Design --- Response surfaces (Statistics). --- Experimental Design. --- Surfaces de réponse (Statistique) --- Plan d'expérience --- Surfaces de réponse (Statistique) --- Surfaces, Response (Statistics) --- Analysis of variance --- Statistics --- Design of experiments --- Statistical design --- Mathematical optimization --- Research --- Science --- Statistical decision --- Analysis of means --- Graphic methods --- Experiments --- Methodology
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"At the dawn of modern logic, Charles S. Peirce invented two types of logical systems, one symbolic and the other graphical. In this book Sun-Joo Shin explores the philosophical roots of the birth of Peirce's Existential Graphs in his theory of representation and logical notation. Shin demonstrates that Peirce is the first philosopher to lay a solid philosophical foundation for multimodal representation systems." "Shin analyzes Peirce's well-known, but much-criticized nonsymbolic representation system. She presents a new approach to his graphical system based on her discovery of its unique nature and on a reconstruction of Peirce's theory of representation. By seeking to understand graphical systems in their own terms, she uncovers the reasons why graphical systems, and Existential Graphs in particular, have been underappreciated by logicians. Drawing on perspectives from the philosophy of mind, cognitive science, logic, and computer science, Shin points the way toward a genuinely interdisciplinary project on multimodal reasoning."--Cover.
Logic diagrams --- Diagrams, Logic --- Logic --- Diagrams --- Graphic methods --- Peirce, Charles S. --- Logic diagrams. --- Philosophy --- Philosophy & Religion --- Peirce, Charles Sanders, --- Peirce, C. S. --- Pirs, Charlz S., --- Peirce, Charles Santiago Sanders, --- Pʻo-erh-ssu, --- Pʻo-erh-ssu, Chʻa-li-ssu, --- Purs, Charls, --- Пърс, Чарлс, --- Chaersi Sangdesi Piersi, --- 查尔斯·桑德斯·皮尔斯, --- PHILOSOPHY/General --- Peirce, Charles Sanders, - 1839-1914
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The concept of modelling using graph theory has its origin in several scientific areas, notably statistics, physics, genetics, and engineering. The use of graphical models in applied statistics has increased considerably over recent years and the theory has been greatly developed and extended. This book provides a self-contained introduction to the learning of graphical models from data, and is the first to include detailed coverage of possibilistic networks - a relatively new reasoning tool that allows the user to infer results from problems with imprecise data. One major advantage of graphical modelling is that specialised techniques that have been developed in one field can be transferred into others easily. The methods described here are applied in a number of industries, including a recent quality testing programme at a major car manufacturer. Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data Each concept is carefully explained and illustrated by examples Contains all necessary background, including modeling under uncertainty, decomposition of distributions, and graphical representation of decompositions Features applications of learning graphical models from data, and problems for further research Includes a comprehensive bibliography An essential reference for graduate students of graphical modelling, applied statistics, computer science and engineering, as well as researchers and practitioners who use graphical models in their work.
Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical statistics --- Data mining --- Exploration de données (Informatique) --- Statistique mathématique --- Graphic methods --- Méthodes graphiques --- 681.3*I26 --- 681.3*H28 --- -wiskundige statistiek --- 519.2 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Database applications (Data mining- Image databases - Scientific databases - Spatial databases and GIS - Statistical databases) --- Probability. Mathematical statistics --- Statistical methods --- Data mining. --- Basic Sciences. Statistics --- Graphic methods. --- Statistical Analysis --- Statistical Analysis. --- 519.2 Probability. Mathematical statistics --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- wiskundige statistiek
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The past twenty years have witnessed extensive collaborative research between computer scientists, logicians, linguists, philosophers, and psychologists. These interdisciplinary studies stem from the realization that researchers drawn from all fields are studying the same problem. Specifically, a common concern amongst researchers today is how logic sheds light on the nature of information. Ancient questions concerning how humans communicate, reason and decide, and modern questions about how computers should communicate, reason and decide are of prime interest to researchers in various disciplines. 'Words, Proofs and Diagrams' is a collection of papers covering active research areas at the interface of logic, computer science, and linguistics. Readers of the volume will find traditional research on process logics, issues in formal semantics, and language processing. In addition, the volume also highlights a particularly new area where all three disciplines meet--the study of images and graphics as information carriers and the diagrammatic reasoning supported by them.
Computational linguistics. --- Language and logic. --- Logic diagrams. --- Reasoning. --- Semantics (Philosophy) --- Visual communication. --- Semantics (Philosophy). --- Computational linguistics --- Language and logic --- Logic diagrams --- Reasoning --- Visual communication --- Graphic communication --- Imaginal communication --- Pictorial communication --- Communication --- Intension (Philosophy) --- Logical semantics --- Semantics (Logic) --- Semeiotics --- Significs --- Syntactics --- Unified science --- Language and languages --- Logic, Symbolic and mathematical --- Logical positivism --- Meaning (Psychology) --- Philosophy, Modern --- Semiotics --- Signs and symbols --- Symbolism --- Analysis (Philosophy) --- Definition (Philosophy) --- Argumentation --- Ratiocination --- Reason --- Thought and thinking --- Judgment (Logic) --- Logic --- Diagrams, Logic --- Linguistics and logic --- Logic in language --- Semantics --- Automatic language processing --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Diagrams --- Graphic methods --- Philosophy --- Data processing
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