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  Inflation and String Theory
Posted on 2014-12-16 (Send to a Friend Send to a Friend )
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. . . . .
   Metal-insulator transition in a weakly interacting many-electron system with localized single-particle states
Posted on 2014-12-01 (Send to a Friend Send to a Friend )
We consider low-temperature behavior of weakly interacting electrons in disordered conductors in the regime when all single-particle 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 Metal-to-In . . . .
   Théorèmes de de Finetti, limites de champ moyen et condensation de Bose-Einstein
Posted on 2014-11-12 (Send to a Friend Send to a Friend )
These are the lectures notes from my cours Peccot at the Coll\`ege de France, given in March-April 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 Two appendices contain each an unpublished result obtained in collaboration with Mathieu Lewin .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 2014-11-10 (Send to a Friend Send to a Friend )
Principles of Data Mining 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 2014-10-26 (Send to a Friend Send to a Friend )
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 high-level 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 2014-10-25 (Send to a Friend Send to a Friend )
This book evolved from material developed over several year s by Anand Raja- raman and Jeff Ullman for a one-quarter 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. . . . .

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