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In this work we present a review of the state of the art of information theoretic feature selection methods. The concepts of feature relevance, redundance and complementarity (synergy) are clearly defined, as well as Markov blanket. The…

Machine Learning · Computer Science 2015-09-28 Jorge R. Vergara , Pablo A. Estévez

This paper investigates two feature-scoring criteria that make use of estimated class probabilities: one method proposed by \citet{shen} and a complementary approach proposed below. We develop a theoretical framework to analyze each…

Machine Learning · Computer Science 2012-07-03 Andrea Danyluk , Nicholas Arnosti

Owing to the remarkable photometric precision of space observatories like Kepler, stellar and planetary systems beyond our own are now being characterized en masse for the first time. These characterizations are pivotal for endeavors such…

Solar and Stellar Astrophysics · Physics 2017-04-03 Earl P. Bellinger , George C. Angelou , Saskia Hekker , Sarbani Basu , Warrick Ball , Elisabeth Guggenberger

Cultural astronomy reveals ways in which perception and culture have shaped the interpretation of the night sky.

History and Philosophy of Physics · Physics 2022-04-01 Charles Kemp , Duane W Hamacher , Daniel R Little , Simon J Cropper

The relations between observable stellar parameters are usually assumed to be deterministic. That is, given an infinitely precise measurement of independent variable, `$x$', and some model, the value of dependent variable, `$y$' can be…

Solar and Stellar Astrophysics · Physics 2016-07-19 Ruth Angus , David Kipping

After discussing the limitations inherent to all set-theoretic reflection principles akin to those studied by A. L\'evy et. al. in the 1960's, we introduce new principles of reflection based on the general notion of \emph{Structural…

Logic · Mathematics 2021-07-06 Joan Bagaria

It has been a longstanding problem to determine, as far as possible, the characteristic masses of stars in terms of fundamental constants; the almost complete invariance of this mass as a function of the star-forming environment suggests…

Solar and Stellar Astrophysics · Physics 2015-05-30 Mark R. Krumholz

Le but cette note est de tenter d'expliquer les liens \'etroits qui unissent la th\'eorie des empilements de cercles et des modules combinatoires, et de comparer les approches \`a la conjecture de J.W. Cannon qui en d\'ecoulent. ???? The…

Metric Geometry · Mathematics 2009-11-18 Peter Haïssinsky

This book provides an introduction to the field of star formation at a level suitable for graduate students or advanced undergraduates in astronomy or physics. The structure of the book is as follows. The first two chapters begin with a…

Astrophysics of Galaxies · Physics 2016-12-09 Mark R. Krumholz

Characterizations of the star, minus and diamond orders of operators are given in various contexts and the relationship between these orders is made more transparent. Moreover, we introduce a new partial order of operators which provides a…

Functional Analysis · Mathematics 2022-07-06 M. Laura Arias , Alejandra Maestripieri

A number of efforts are underway to detect close binary stars in planetary nebulae. The primary goal of these studies is to determine the binary fraction of central stars. The next stage is a detailed analysis of the binaries to determine…

Solar and Stellar Astrophysics · Physics 2010-10-08 Todd C. Hillwig

Classical Be stars are introduced as object class and their particular potential for space based photometry is highlighted. A brief summary of the various types of variability observed in Be stars makes clear that an interpretation of every…

Solar and Stellar Astrophysics · Physics 2016-10-25 Thomas Rivinius , Dietrich Baade , Alex C. Carciofi

Understanding stellar composition is fundamental not only to our comprehension of the galaxy, especially chemical evolution, but it can also shed light on the interior structure and mineralogy of exoplanets, which are formed from the same…

Earth and Planetary Astrophysics · Physics 2022-11-30 Natalie R. Hinkel , Patrick A. Young , Caleb H. Wheeler

A principled approach to understand network structures is to formulate generative models. Given a collection of models, however, an outstanding key task is to determine which one provides a more accurate description of the network at hand,…

Machine Learning · Statistics 2018-06-29 Toni Vallès-Català , Tiago P. Peixoto , Roger Guimerà , Marta Sales-Pardo

We study the relationship between the field star formation and cluster formation properties in a large sample of nearby dwarf galaxies. We use optical data from the Hubble Space Telescope and from ground-based telescopes to derive the ages…

This short article contains the construction of a construction that generalizes the concept of the derivative of a function of one variable, using the theory of filters. The paper presents a new concept, demonstrates that it really…

Functional Analysis · Mathematics 2025-06-24 Dmytro Seliutin

The observable characteristics and subsequent evolution of young stellar populations is dominated by their massive stars. As our understanding of those massive stars and the factors affecting their evolution improves, so our interpretation…

Astrophysics of Galaxies · Physics 2022-09-28 Jan J. Eldridge , Elizabeth R. Stanway

This is a survey of select recent results by a number of authors, inspired by the classical configuration theorems of projective geometry.

Metric Geometry · Mathematics 2016-07-19 S. Tabachnikov

The existence of older stars within a young star cluster can be interpreted to imply that star formation occurs on time scales longer than a free-fall time of a pre-cluster cloud core. Here the idea is explored that these older stars are…

Astrophysics · Physics 2008-11-26 Jan Pflamm-Altenburg , Pavel Kroupa

In this article, recent results about point processes are used in sampling theory. Precisely, we define and study a new class of sampling designs: determinantal sampling designs. The law of such designs is known, and there exists a simple…

Methodology · Statistics 2025-08-27 Vincent Loonis , Xavier Mary