Magnetic resonance chemical shift imaging (CSI) is becoming the method of choice for localized NMR spectroscopic examinations, allowing simultaneous detection of NMR spectra from a large number of voxels. The main limitation of these methods is their long experimental duration. A number of fast CSI experiments have been presented, promising to reduce that duration. In this contribution the crit...

The internal dynamics of strongly interacting systems and that of bio-polymers such as proteins display several important analogies, despite the huge difference in their characteristic energy and length scales. For example, in all such systems, collective excitations, cooperative transitions and phase transitions emerge as the result of the interplay of strong correlations with quantum or therm...

Approaches to classroom instruction have evolved considerably over the past 50 years. This progress has been spurred by the development of several learning principles and methods of instruction, including active learning, student-centered learning, collaborative learning, experiential learning, and problem-based learning. In the present paper, we suggest that these seemingly different strategie...

D. Henrion is a CNRS Researcher at LAAS in Toulouse, France. He is also a Professor at the Faculty of Electrical Engineering of the Czech Technical University in Prague, Czech Republic. He is interested in polynomial optimization for systems control, focusing on the development of constructive tools for addressing mathematical problems arising from systems control theory. See homepages.laas.fr/...

In this chapter, we revise several methods for SVM model selection, deriving from different approaches: some of them build on practical lines of reasoning but are not fully justified by a theoretical point of view; on the other hand, some methods rely on rigorous theoretical work but are of little help when applied to real–world problems, because the underlying hypotheses cannot be verified or ...

*Correspondence: [email protected] 1Computational Genomics Department, National Institute of Genomic Medicine, Mexico City, México 2Complexity in Systems Biology, Center for Complexity Sciences, National Autonomous University of México, Mexico City, Mexico Full list of author information is available at the end of the article Abstract Purpose: Complex networks seem to be ubiquitous obje...

We consider algebraic methods of the two-level type for the iterative solution of large sparse linear systems. We assume that a ne/coarse partitioning and an algebraic interpolation have been de ned in one way or another, and review di erent schemes that may be built with these ingredients. This includes algebraic multigrid (AMG) schemes, two-level approximate block factorizations, and several ...

In this paper we present the theoretical background for destructive component identification in ensemble method via multivariate decompositions. The identification method is based on second order statistics and it is addressed for predictive models scored by MSE criterion. The validity of the concept is confirmed by simulation study based on Friedman benchmark function. Key-Words: Ensemble meth...

Inquiry skills are critical to virtually any kind of problem solving and particularly to the practice of science. However, these skills cannot be easily assessed using traditional static assessment items, in which it is difficult to follow (and capture) the actual inquiry process. Given a sufficiently interactive task, the challenge becomes how to identify and score the inquiry skills applied t...

Feature selection methods are usually evaluated by wrapping specific classifiers and datasets in the evaluation process, resulting very often in unfair comparisons between methods. In this work, we develop a theoretical framework that allows obtaining the true feature ordering of two-dimensional sequential forward feature selection methods based on mutual information, which is independent of en...