In present paper, we propose a new method of n-gram analysis using ZBDDs (Zero-suppressed BDDs). ZBDDs are known as a compact representation of combinatorial item sets. Here, we newly apply the ZBDD-based techniques for efficiently handling sets of sequences. Using the algebraic operations defined over ZBDDs, such as union, intersection, difference, etc., we can execute various processings and/...

In the affective sphere of EFL learning especially with regard to teaching/learning situations in Iran, one deterrent element seizes particular attention and that is inhibition self-imposed restraint on or abstinence from learning due to academic and non-academic variables such as culture, gender, psyche, extreme emotions, etc. It is related to language ego permeability hypothesis (LEPH) which ...

OBJECTIVE A self-organizing map (SOM) is a competitive artificial neural network with unsupervised learning. To increase the SOM learning effect, a fuzzy-soft learning vector quantization (FSLVQ) algorithm has been proposed in the literature, using fuzzy functions to approximate lateral neural interaction of the SOM. However, the computational performance of FSLVQ is still not good enough, espe...

We measured tracking performance in two groups while either the target or the manual cursor was suppressed for a brief period during each trial. We have used this approach to investigate the internal models used during tracking, and their updating during motor learning. We have simultaneously measured tracking performance and pupil dilation as a measure of cognitive load. The results showed tha...