Structured expert judgment (SEJ) is used to quantify the uncertainty of nonindigenous fish (bighead carp [Hypophthalmichthys nobilis] and silver carp [H. molitrix]) establishment in Lake Erie. The classical model for structured expert judgment model is applied. Forming a weighted combination (called a decision maker) of experts' distributions, with weights derived from performance on a set of c...

Several purchase models are developed to understand customer dynamic purchasing behavior. The negative binomial distribution (NBD) contains two characteristics which are Poisson purchasing and gamma heterogeneity is shown as a robust method in product purchase frequency. An approach is to develop individual-level estimation by MCMC Bayesian NBD model. Since the smart phone launch to publish, va...

We further extend our approach to the linguistic summarization of time series (cf. Kacprzyk, Wilbik and Zadro ny) in which an approach based on a calculus of linguistically quantified propositions is employed, and the essence of the problem is equated with a linguistic quantifier driven aggregation of partial scores (trends). We proceed towards a multicriteria analysis of summaries by assuming ...

This investigation examined the effects of a semantic feature training procedure on retrieval of action names in a participant with anomic aphasia. Treatment was applied sequentially across two sets of action names in the context of a multiple baseline design across behaviors. Treatment effects were evaluated in terms of naming of trained and untrained actions. Discourse production effects were...

Reputation systems, which rank agents based on feedback from past interactions, play a crucial role in aggregating and sharing trust information online. Reputation systems are used to find authoritative web sites and ensure socially beneficial behavior on auction sites. The main problem faced by reputation system researchers is a lack of good metrics for comparison and evaluation. This thesis d...

Neurobiological research on learning assumes that temporal contiguity is essential for association formation, but what constitutes temporal contiguity has never been specified. We review evidence that learning depends, instead, on learning a temporal map. Temporal relations between events are encoded even from single experiences. The speed with which an anticipatory response emerges is proporti...