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Inflation and String Theory 
Posted on 20141216
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We review cosmological inflation and its realization in quantum field theory and in string theory. This material is a portion of a book, also entitled "Inflation and String Theory", to be published by Cambridge University Press. . . . . 






Metalinsulator transition in a weakly interacting manyelectron system with localized singleparticle states 
Posted on 20141201
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We consider lowtemperature behavior of weakly interacting electrons in disordered conductors in the regime when all singleparticle eigenstates are localized by the quenched disorder. We prove that in the absence of coupling of the electrons to any external bath dc electrical conductivity exactly vanishes as long as the temperatute T does not exceed some finite value Tc. At the same time, it can be also proven that at high enough T the conductivity is finite. These two statements imply that the system undergoes a finite temperature MetaltoIn . . . . 






Théorèmes de de Finetti, limites de champ moyen et condensation de BoseEinstein 
Posted on 20141112
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These are the lectures notes from my cours Peccot at the Coll\`ege de France, given in MarchApril 2014. They are in french for the moment, some english translation should be available soon(er or later). Two appendices contain each an unpublished result obtained in collaboration with Mathieu Lewin . . . . 






Principles of Data Mining 
Posted on 20141110
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Contents: 1.
Fundamentals:
Chapters 1 through 4 focus on the fundamental aspects of
data and data analysis: introduction to data mining (
chapter 1), measurement
(chapter 2), summarizing and visualizing data (chapter 3), and uncertainty and inference (
chapter 4).
2.
Data Mining Components:
Chapters 5 through 8 focus on what we term the
"components" of data mining algorithms: these are the building blocks that
can be used to systematically create and analyze data mining algorithms. In
chapter 5
we discuss this systematic . . . . 






DATA MINING AND ANALYSIS: Fundamental Concepts and Algorithms 
Posted on 20141026
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This book is an outgrowth of data mining courses at Rensselae
r Polytechnic Institute
(RPI) and Universidade Federal de Minas Gerais (UFMG); the R
PI course has been
offered every Fall since 1998, whereas the UFMG course has be
en offered since
2002. Although there are several good books on data mining an
d related topics, we
felt that many of them are either too highlevel or too advanc
ed. Our goal was to
write an introductory text that focuses on the fundamental a
lgorithms in data mining
and analysis. It lays the mathematical fo . . . . 






Mining of Massive Datasets 
Posted on 20141025
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This book evolved from material developed over several year
s by Anand Raja
raman and Jeff Ullman for a onequarter course at Stanford. Th
e course
CS345A, titled “Web Mining,” was designed as an advanced gra
duate course,
although it has become accessible and interesting to advanc
ed undergraduates. . . . . 






