Titlebook: Synergies of Soft Computing and Statistics for Intelligent Data Analysis; Rudolf Kruse,Michael R. Berthold,Olgierd Hryniewic Conference pr

轻率的你

Exploring Big Data with Scalable Soft Clusteringg patients by outcomes but will be contained in petabyte data storage. We can store lots of data and much of it wont have labels. How can we analyze or explore the data? Unsupervised clustering, fuzzy, possibilistic or probabilistic will allow us to group data. However, the algorithms scale poorly i

严厉谴责

Comedienne

BRUNT

扫兴

Perineum

incision

2D Probability-Possibility Transformations-dimensional probability-possibility transformations of joint probability densities are considered, to build joint possibilities such that the marginals preserve the same information content as the marginals of the joint probability densities.

Meditative

A Note on the Convex Structure of Uncertainty Measures on MV-algebras mapping ... into real numbers .. (. = 1, …,.) extends to a generalized belief function on fuzzy sets, according to a suitable definition. We will characterize this problem in a way that allows to treat it as the membership problem of a point to a specific convex set.

arbovirus

On Equations with a Fuzzy Stochastic Integral with Respect to Semimartingalesd stochastic differential equations and set-valued stochastic integral equations as well. A main object is a fuzzy stochastic trajectory integral with respect to a semimartingale. We obtain the existence and uniqueness of global solutions to fuzzy stochastic integral equations driven by continuous s

blight

A Linear Regression Model for Interval-Valued Response Based on Set Arithmetic regression model with interval-valued response and real predictor based on the interval arithmetic is formally described. The least-squares estimation of the model is solved by means of a constrained minimization problem which guarantees the coherency of the estimators with the regression parameter