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Statistical Learning and Data Science

Mireille Gettler Summa, et al., editors
Publisher: 
Chapman & Hall/CRC
Publication Date: 
2012
Number of Pages: 
227
Format: 
Hardcover
Series: 
Computer Science and Data Analysis Series
Price: 
89.95
ISBN: 
9781439867631
Category: 
Anthology
We do not plan to review this book.

Statistical and Machine Learning

Mining on Social Networks
Benjamin Chapus, Françoise Fogelman Soulié, Erik Marcadé, and Julien Sauvage
Introduction
What is a Social Network?
KXEN’s Approach for Modeling Networked Data
Applications
Conclusion

Large-Scale Machine Learning with Stochastic Gradient Descent
Léon Bottou
Introduction
Learning with Gradient Descent
Learning with Large Training Sets
Efficient Learning
Experiments

Fast Optimization Algorithms for Solving SVM+
Dmitry Pechyony and Vladimir Vapnik
Introduction
Sparse Line Search Algorithms
Conjugate Sparse Line Search
Proof of Convergence Properties of aSMO, caSMO
Experiments
Conclusions

Conformal Predictors in Semi-Supervised Case
Dmitry Adamskiy, Ilia Nouretdinov and Alexander Gammerman
Introduction
Background: Conformal Prediction for Supervised Learning
Conformal Prediction for Semi-Supervised Learning
Conclusion

Some Properties of Infinite VC-Dimension Systems
Alexey Chervonenkis
Preliminaries
Main Assertion
Additional Definitions
The Restriction Process
The Proof

Data Science, Foundations and Applications

Choriogenesis
Jean-Paul Benzécri
Introduction
Preorder
Spike
Preorder and Spike
Geometry of the Spike
Katabasis: Spikes and Filters
Product of Two or More Spikes
Correspondence Analysis: Epimixia
Choriogenesis, Coccoleiosis, Cosmology

GDA in a Social Science Research Program: The Case of Bourdieu’s Sociology
Frédéric Lebaron
Introduction
Bourdieu and Statistics
From Multidimensionality to Geometry
Investigating Fields
A Sociological Research Program
Conclusion

Semantics from Narrative: State of the Art and Future Prospects
Fionn Murtagh, Adam Ganz, and Joe Reddington
Introduction: Analysis of Narrative
Deeper Look at Semantics in Casablanca Script
From Filmscripts to Scholarly Research Articles
Conclusions

Measuring Classifier Performance
David J. Hand
Introduction
Background
The Area under the Curve
Incoherence of the Area under the Curve
What to Do about It
Discussion

A Clustering Approach to Monitor System Working
Alzennyr Da Silva, Yves Lechevallier, and Redouane Seraoui
Introduction
Related Work
Clustering Approach for Monitoring System Working
Experiments
Conclusion

Introduction to Molecular Phylogeny
Mahendra Mariadassou and Avner Bar-Hen
The Context Of Molecular Phylogeny
Methods For Reconstructing Phylogenetic Trees
Validation of Phylogenetic Trees

Bayesian analysis of Structural Equation Models using Parameter Expansion
Séverine Demeyer, Jean-Louis Foulley, Nicolas Fischer, and Gilbert Saporta
Introduction
Specification of SEM for Mixed Observed Variables
Bayesian Estimation of SEMs with Mixed Observed Variables
Application: Modeling Expert Knowledge in Uncertainty Analysis
Conclusion and Perspectives

Complex Data

Clustering Trajectories of a Three-Way Longitudinal Data Set
Mireille Gettler Summa, Bernard Goldfarb, and Maurizio Vichi
Introduction
Notation
Trajectories
Dissimilarities between Trajectories
The Clustering Problem
Application
Conclusions

Trees with Soft Nodes
Antonio Ciampi
Introduction
Trees for Symbolic Data
Soft Nodes
Trees with Soft Nodes
Examples
Evaluation
Discussion

Synthesis of Objects
Myriam Touati, Mohamed Djedour, and Edwin Diday
Introduction
Some Symbolic Object Definitions
Generalization
Background Knowledge
The Problem
Dynamic Clustering Algorithm on Symbolic Objects: SYNTHO
Algorithm of Generalization: GENOS
Application: Advising the University of Algiers Students
Conclusion

Functional Data Analysis: An Interdisciplinary Statistical Topic
Laurent Delsol, Frédéric Ferraty, and Adela Martínez Calvo
Introduction
FDA Background
FDA: a Useful Statistical Tool in Numerous Fields of Application
Conclusions

Methodological Richness of Functional Data Analysis
Wenceslao Gonzàlez Manteiga, and Philippe Vieu
Introduction
Spectral Analysis: Benchmark Methods in FDA
Exploratory Methods in FDA
Explanatory Methods in FDA
Complementary Bibliography
Conclusions

Bibliography
Index

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