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  • Produktbild: Learning from Data
Band 112

Learning from Data Artificial Intelligence and Statistics V

Aus der Reihe Lecture Notes in Statistics

97,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.05.1996

Herausgeber

Doug Fisher + weitere

Verlag

Springer Us

Seitenzahl

450

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

670 g

Auflage

Softcover reprint of the original 1st ed. 1996

Sprache

Englisch

ISBN

978-0-387-94736-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.05.1996

Herausgeber

Verlag

Springer Us

Seitenzahl

450

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

670 g

Auflage

Softcover reprint of the original 1st ed. 1996

Sprache

Englisch

ISBN

978-0-387-94736-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Learning from Data
  • Produktbild: Learning from Data
  • I Causality.- 1 Two Algorithms for Inducing Structural Equation Models from Data.- 2 Using Causal Knowledge to Learn More Useful Decision Rules from Data.- 3 A Causal Calculus for Statistical Research.- 4 Likelihood-based Causal Inference.- II Inference and Decision Making.- 5 Ploxoma: Testbed for Uncertain Inference.- 6 Solving Influence Diagrams Using Gibbs Sampling.- 7 Modeling and Monitoring Dynamic Systems by Chain Graphs.- 8 Propagation of Gaussian Belief Functions.- 9 On Test Selection Strategies for Belief Networks.- 10 Representing and Solving Asymmetric Decision Problems Using Valuation Networks.- 11 A Hill-Climbing Approach for Optimizing Classification Trees.- III Search Control in Model Hunting.- 12 Learning Bayesian Networks is NP-Complete.- 13 Heuristic Search for Model Structure: The Benefits of Restraining Greed.- 14 Learning Possibilistic Networks from Data.- 15 Detecting Imperfect Patterns in Event Streams Using Local Search.- 16 Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms.- 17 An Axiomatization of Loglinear Models with an Application to the Model-Search Problem.- 18 Detecting Complex Dependencies in Categorical Data.- IV Classification.- 19 A Comparative Evaluation of Sequential Feature Selection Algorithms.- 20 Classification Using Bayes Averaging of Multiple, Relational Rule-Based Models.- 21 Picking the Best Expert from a Sequence.- 22 Hierarchical Clustering of Composite Objects with a Variable Number of Components.- 23 Searching for Dependencies in Bayesian Classifiers.- V General Learning Issues.- 24 Statistical Analysis fo Complex Systems in Biomedicine.- 25 Learning in Hybrid Noise Environments Using Statistical Queries.- 26 On the Statistical Comparison of Inductive Learning Methods.- 27 Dynamical Selection of Learning Algorithms.- 28 Learning Bayesian Networks Using Feature Selection.- 29 Data Representations in Learning.- VI EDA: Tools and Methods.- 30 Rule Induction as Exploratory Data Analysis.- 31 Non-Linear Dimensionality Reduction: A Comparative Performance Analysis.- 32 Omega-Stat: An Environment for Implementing Intelligent Modeling Strategies.- 33 Framework for a Generic Knowledge Discovery Toolkit.- 34 Control Representation in an EDA Assistant.- VII Decision and Regression Tree Induction.- 35 A Further Comparison of Simplification Methods for Decision-Tree Induction.- 36 Robust Linear Discriminant Trees.- 37 Tree Structured Interpretable Regression.- 38 An Exact Probability Metric for Decision Tree Splitting.- VIII Natural Language Processing.- 39 Two Applications of Statistical Modelling to Natural Language Processing.- 40 A Model for Part-of-Speech Prediction.- 41 Viewpoint-Based Measurement of Semantic Similarity Between Words.- 42 Part-of-Speech Tagging from “Small” Data Sets.