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Learning Causal Models Of Multivariate Systems : And The Value Of It For The Performance Modeling Of Computer Programs.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bruxelles :
ASP,
2007.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- ""Contents""; ""Introduction""; ""I Causal Inference""; ""Principles of Inductive Inference""; ""Classical Information Theory""; ""Maximum Entropy Principle""; ""Kernel Density Estimation""; ""Occam's Razor""; ""Kolmogorov Complexity""; ""Definition""; ""Minimum Description Length""; ""Kolmogorov Minimal Sufficient Statistic""; ""Regularities as Meaningful Information""; ""Typicality""; ""Sufficient Statistics""; ""Algorithmic Sufficient Statistics""; ""Conclusions of Chapter""; ""Graphical Causal Models""; ""Independencies""; ""Correlation""
- ""Qualitative Property and Qualitative Reasoning""""The Occurence of Independencies""; ""Graphoid Properties""; ""Markov networks""; ""Bayesian Networks""; ""Representation of Distributions""; ""Representation of Independencies""; ""Graphical Causal Models""; ""Defining Causality: The Shadow's Cause""; ""Interventions""; ""Causally Interpreted Bayesian Networks""; ""Invalidity of the Markov Network Representation""; ""Causal Structure Learning Algorithms""; ""The PC Algorithm""; ""Assumptions""; ""Complexity""; ""Summary of Chapter""
- ""The Meaningful Information of Probability Distributions""""Minimal Description of Distributions""; ""Compression of Distributions""; ""Minimality of Causal Models""; ""Correspondence of Causal Component to Decomposition""; ""A Distributed d-separation Algorithm""; ""Reductionism""; ""Validity of Causal Inference""; ""Faithfulness""; ""Summary of Chapter""; ""Information Equivalence""; ""Related Work""; ""Information equivalences""; ""Definition""; ""Equivalent Partition""; ""Assumptions""; ""Properties of Information Equivalences""; ""Augmented Bayesian Network""
- ""The Complexity Criterion""""Complexity of Relations""; ""The Increase of Complexity""; ""Faithfulness""; ""Conditional Independence and Simplicity""; ""Deq-separation""; ""Faithfulness Revisited""; ""Constraint-based Learning Algorithms""; ""Equivalence Detection""; ""Equivalence selection""; ""Experiments""; ""Summary of Chapter""; ""II Performance Modeling""; ""Performance Analysis of Parallel Processing""; ""Parallel Performance Metrics""; ""Lost Cycle Approach""; ""Overhead Ratios""; ""Overhead Classification""; ""Granularity""; ""Parameter Dependence""; ""Tool""; ""EPPA""
- ""EPPA Measurement Overhead""""Related Performance Analysis Tools""; ""Summary of Chapter""; ""Qualitative Multivariate Analysis""; ""EPDA""; ""Visualization Facilities""; ""Statistical Technologies""; ""Outlier Detection""; ""Probability Table Compression""; ""Sequential Experiment Probing""; ""Loading Parallel Performance Data""; ""The Modeling Process""; ""Causal Structure Learning""; ""Pearson Correlation Coefficient""; ""Information-Theoretic Dependence""; ""Independence Test Calibration""; ""Summary of Chapter""; ""Causal Inference for Performance Analysis""; ""Utility""