We examine the auto-dependence structure of strictly stationary solutions of linear stochastic recurrence equations and of strictly stationary GARCH(1, 1) processes from the point of view of ordinary and generalized tail dependence coefficients. Since such processes can easily be of infinite variance, a substitute for the usual auto-correlation function is needed. Mathematics Subject Classifica...

Established partial seizures are often refractory to treatment and many patients receive polypharmacy. An attempt was made to improve seizure control with the substitution of carbamazepine (CBZ) for existing treatment in 7 consecutive unremitting cases of partial epilepsy referred by their physicians as 'intractable'. This produced a significant improvement in control of partial (P less than 0....

Based on fuzzy language field and fuzzy language value structure, a new knowledge representation frame is presented. A generalized cell automation and the corresponding generalized induction logic causal model are also proposed, which can synthetically process random and fuzzy indeterminacy. Thus, a new indeterminacy causal induction auto-reasoning mechanism is presented on the basis of fuzzy s...

We construct the generalized Darboux transformation with arbitrary functions in time t for the AKNS equation with self-consistent sources (AKNSESCS) which, in contrast with the Darboux transformation for the AKNS equation, provides a non-auto-Bäcklund transformation between two AKNSESCSs with different degrees of sources. The formula for N-times repeated generalized Darboux transformation is pr...

Purpose: To evaluate the implications of differences between contours drawn manually and contours generated automatically by deformable image registration for four-dimensional (4D) treatment planning. Methods and Materials: In 12 lung cancer patients intensity-modulated radiotherapy (IMRT) planning was performed for both manual contours and automatically generated (‘‘auto’’) contours in mid and...

This paper investigates cluster formation in decentralized sensor grids and focusses on predicting when the cluster formation converges to a stable configuration. The traffic volume of inter-agent communications is used, as the underlying time series, to construct a predictor of the convergence time. The predictor is based on the assumption that decentralized cluster formation creates multiagen...

Modeling the contagious distribution of species has long been a challenging issue in ecology. Autologistic regression modeling has been a primary approach used to describe the spatially correlated distribution of single species on landscapes. Here we introduce a generalized auto multicategorical regression method to model the simultaneous distribution of multiple species. The auto multicategori...

Zero-shot learning (ZSL) is to identify target categories without labeled data, in which semantic information used transfer knowledge from some seen categories. In the existing Generalized Zero-Shot Learning (GZSL) methods, domains shift problem always appeared during generating feature stage. order solve this problem, a new method Auto-Encode Synthesis Pseudo Features for GZSL task (AESPF-GZSL...

Great Salt Lake (GSL) is the largest salt lake in the western hemisphere, the fourthlargest terminal lake in the world. The elevation of GSL has critical effect on the people who live nearby and their properties. It is crucial to build an exact model of GSL elevation time series in order to predict the GSL elevation precisely. Although some models, such as ARIMA or FARIMA (fractional auto-regre...