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Spectral band selection for mitosis detection in histopathology

Irshad, Humayun; Gouaillard, Alexandre; Roux, Ludovic; … - Institute for Quantitative Social Science, Harvard … - 2015

This study aims at evaluating the accuracy of mitosis detection on multispectral histopathological images by developing a solution specifically designed to take advantage of multi-spectral information. The proposed framework includes a selection of spectral bands and focal plane, detection of...

Persistent link: https://www.econbiz.de/10011213860

Applying information-based methods in importance–performance analysis when the information of importance is unavailable

Shieh, Jiunn-I; Wu, Hsin-Hung - In: Quality & Quantity: International Journal of Methodology 45 (2011) 3, pp. 545-557

Persistent link: https://www.econbiz.de/10009396653

On the globalization of stock markets: An application of VECM, SSA technique and mutual information to the G7?

Menezes, Rui; Dionísio, Andreia; Hassanic, Hossein - Centro de Estudos e Formação Avançada em Gestão e … - 2010

This paper analyzes the process of stock market globalization on the basis of two different approaches: (i) the linear one, based on cointegration tests and vector error correction models (VECM); and (ii) the nonlinear approach, based on Singular Spectrum Analysis (SSA) and mutual information...

Persistent link: https://www.econbiz.de/10008752564

Bayesian rules and stochastic models for high accuracy prediction of solar radiation

Voyant, Cyril; Darras, Christophe; Muselli, Marc; … - In: Applied Energy 114 (2014) C, pp. 218-226

It is essential to find solar predictive methods to massively insert renewable energies on the electrical distribution grid. The goal of this study is to find the best methodology allowing predicting with high accuracy the hourly global radiation. The knowledge of this quantity is essential for...

Persistent link: https://www.econbiz.de/10010729409

Wave function symmetry, symmetry holes, interaction and statistical correlation in the Moshinsky atom

Laguna, Humberto G.; Sagar, Robin P. - In: Physica A: Statistical Mechanics and its Applications 396 (2014) C, pp. 267-279

We analyze how the symmetry of the wave function and the interaction between particles influence the localization–delocalization of the distribution functions, and the statistical correlation between variables representing the particles. We use the Moshinsky atom which is a model of two...

Persistent link: https://www.econbiz.de/10010730336

Efficient identification of independence networks using mutual information

Bacciu, Davide; Etchells, Terence; Lisboa, Paulo; … - In: Computational Statistics 28 (2013) 2, pp. 621-646

Conditional independence graphs are now widely applied in science and industry to display interactions between large numbers of variables. However, the computational load of structure identification grows with the number of nodes in the network and the sample size. A tailored version of the PC...

Persistent link: https://www.econbiz.de/10010847801

Optimal Quantization of the Support of a Continuous Multivariate Distribution based on Mutual Information

Colin, Bernard; Dubeau, François; Khreibani, Hussein; … - In: Journal of Classification 30 (2013) 3, pp. 453-473

Based on the notion of mutual information between the components of a random vector, we construct, for data reduction reasons, an optimal quantization of the support of its probability measure. More precisely, we propose a simultaneous discretization of the whole set of the components of the...

Persistent link: https://www.econbiz.de/10010848620

Qualitative inequalities for squared partial correlations of a Gaussian random vector

Chaudhuri, Sanjay - In: Annals of the Institute of Statistical Mathematics 66 (2014) 2, pp. 345-367

We describe various sets of conditional independence relationships, sufficient for qualitatively comparing non-vanishing squared partial correlations of a Gaussian random vector. These sufficient conditions are satisfied by several graphical Markov models. Rules for comparing degree of...

Persistent link: https://www.econbiz.de/10010848635

Estimating mutual information for feature selection in the presence of label noise

Frénay, Benoît; Doquire, Gauthier; Verleysen, Michel - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 832-848

A way to achieve feature selection for classification problems polluted by label noise is proposed. The performances of … probabilistic label noise model combined with a nearest neighbours-based entropy estimator is introduced to robustly evaluate the … possible label noise into account when selecting features and (ii) the proposed methodology is effectively able to reduce the …

Persistent link: https://www.econbiz.de/10010719660

Comparison, utility, and partition of dependence under absolutely continuous and singular distributions

Ebrahimi, Nader; Jalali, Nima Y.; Soofi, Ehsan S. - In: Journal of Multivariate Analysis 131 (2014) C, pp. 32-50

This paper first illustrates that a mutual information index detects and ranks dependence of a wide variety of absolutely continuous families, but the popular association and variance reduction indices fail to serve as such “common metrics”. We then elaborate on some theoretical merits of...

Persistent link: https://www.econbiz.de/10011042048