Learning causal models of multivariate systems : and the value of it for the performance modeling of computer programs / / by Jan Lemeire |
Autore | Lemeire Jan |
Pubbl/distr/stampa | Brussels, Belgium : , : Vrije Universiteit Brussel, , 2007 |
Descrizione fisica | 1 online resource (240 p.) |
Disciplina | 511.8 |
Soggetto topico |
Algorithms
Multivariate analysis - Computer programs |
Soggetto genere / forma | Electronic books. |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""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 Occurrence 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"" ""Support of the Modeling Process"" |
Record Nr. | UNINA-9910464637403321 |
Lemeire Jan
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Brussels, Belgium : , : Vrije Universiteit Brussel, , 2007 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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Learning causal models of multivariate systems : and the value of it for the performance modeling of computer programs / / by Jan Lemeire |
Autore | Lemeire Jan |
Pubbl/distr/stampa | Brussels, Belgium : , : Vrije Universiteit Brussel, , 2007 |
Descrizione fisica | 1 online resource (240 p.) |
Disciplina | 511.8 |
Soggetto topico |
Algorithms
Multivariate analysis - Computer programs |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""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 Occurrence 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"" ""Support of the Modeling Process"" |
Record Nr. | UNINA-9910788943503321 |
Lemeire Jan
![]() |
||
Brussels, Belgium : , : Vrije Universiteit Brussel, , 2007 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Learning causal models of multivariate systems : and the value of it for the performance modeling of computer programs / / by Jan Lemeire |
Autore | Lemeire Jan |
Pubbl/distr/stampa | Brussels, Belgium : , : Vrije Universiteit Brussel, , 2007 |
Descrizione fisica | 1 online resource (240 p.) |
Disciplina | 511.8 |
Soggetto topico |
Algorithms
Multivariate analysis - Computer programs |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""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 Occurrence 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"" ""Support of the Modeling Process"" |
Record Nr. | UNINA-9910819365603321 |
Lemeire Jan
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Brussels, Belgium : , : Vrije Universiteit Brussel, , 2007 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Multivariate data analysis on matrix manifolds : (with Manopt) / / Nickolay Trendafilov, Michele Gallo |
Autore | Trendafilov Nickolay |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (467 pages) |
Disciplina | 519.535 |
Collana | Springer Series in the Data Sciences |
Soggetto topico |
Multivariate analysis
Multivariate analysis - Computer programs Manifolds (Mathematics) Anàlisi multivariable Varietats (Matemàtica) |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-76974-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996466400003316 |
Trendafilov Nickolay
![]() |
||
Cham, Switzerland : , : Springer, , [2021] | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
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Multivariate data analysis on matrix manifolds : (with Manopt) / / Nickolay Trendafilov, Michele Gallo |
Autore | Trendafilov Nickolay |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (467 pages) |
Disciplina | 519.535 |
Collana | Springer Series in the Data Sciences |
Soggetto topico |
Multivariate analysis
Multivariate analysis - Computer programs Manifolds (Mathematics) Anàlisi multivariable Varietats (Matemàtica) |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-030-76974-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910502639203321 |
Trendafilov Nickolay
![]() |
||
Cham, Switzerland : , : Springer, , [2021] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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