959 resultados para Ensemble de Cantor
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We are going to implement the "GA-SEFS" by Tsymbal and analyse experimentally its performance depending on the classifier algorithms used in the fitness function (NB, MNge, SMO). We are also going to study the effect of adding to the fitness function a measure to control complexity of the base classifiers.
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Référence bibliographique : Rol, 57882
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Référence bibliographique : Rol, 57126
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Comprend : Lagrimo occhi mici / Sigismont d'India, comp. ; réalisation Claude Crussard ; Maria Castellazzi, Leïla Ben Sedira, S ; Ensemble instrumental Ars Rediviva ; Ohimè, dov'è il mio ben ? / Monteverdi, comp. ; réalisation Claude Crussard ; Maria Castellazzi, Leïla Ben Sedira, S ; Ensemble instrumental Ars Rediviva ; Maledetto sia l'aspetto / Monteverdi, comp. ; réalisation Claude Crussard ; Maria Castellazzi, Leïla Ben Sedira, S ; Ensemble instrumental Ars Rediviva ; Chiome d'oro, bel thesoro / Monteverdi, comp. ; réalisation Claude Crussard ; Maria Castellazzi, Leïla Ben Sedira, S ; Ensemble instrumental Ars Rediviva
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Il y a une table alphabétique des noms à la fin du volume.
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Contient : Notes de naissances et décès de différents membres de la famille Lescot, descendants des Hennequins (1552-1745). — Blasons coloriés. — Au fol. 1, la mention : « A Jehan Lescot, sieur du Tronchet, contrerolleur ordinaire des guerres »
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We start with a generalization of the well-known three-door problem:the n-door problem. The solution of this new problem leads us toa beautiful representation system for real numbers in (0,1] as alternated series, known in the literature as Pierce expansions. A closer look to Pierce expansions will take us to some metrical properties of sets defined through the Pierce expansions of its elements. Finally, these metrical properties will enable us to present 'strange' sets, similar to the classical Cantor set.
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[Acte. 1620-02-14]
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BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships. BIOMOD includes the ability to model species distributions with several techniques, test models with a wide range of approaches, project species distributions into different environmental conditions (e.g. climate or land use change scenarios) and dispersal functions. It allows assessing species temporal turnover, plot species response curves, and test the strength of species interactions with predictor variables. BIOMOD is implemented in R and is a freeware, open source, package
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Comprend : De guerre, paix ; Pyramide+ renversee sur la mort de Gaspar de Coligny ; Au :Roy: +Roi+ ; Ce que Dieu touche ard
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Species' geographic ranges are usually considered as basic units in macroecology and biogeography, yet it is still difficult to measure them accurately for many reasons. About 20 years ago, researchers started using local data on species' occurrences to estimate broad scale ranges, thereby establishing the niche modeling approach. However, there are still many problems in model evaluation and application, and one of the solutions is to find a consensus solution among models derived from different mathematical and statistical models for niche modeling, climatic projections and variable combination, all of which are sources of uncertainty during niche modeling. In this paper, we discuss this approach of ensemble forecasting and propose that it can be divided into three phases with increasing levels of complexity. Phase I is the simple combination of maps to achieve a consensual and hopefully conservative solution. In Phase II, differences among the maps used are described by multivariate analyses, and Phase III consists of the quantitative evaluation of the relative magnitude of uncertainties from different sources and their mapping. To illustrate these developments, we analyzed the occurrence data of the tiger moth, Utetheisa ornatrix (Lepidoptera, Arctiidae), a Neotropical moth species, and modeled its geographic range in current and future climates.