Following the growing body of evidence suggesting that substantial individual differences in reasoning exist already at early stages process and reasoners might be able to produce logical intuitions, model mindware automatization posits acquired extent it is fully automatized can cue logically correct type 1 response. In this study, we asked participants solve Cognitive Reflection Test (CRT) pr...

A key element of any sentiment analysis system is the ability to assign a polarity strength value to words appearing within the documents. In this paper we present a novel approach to polarity strength assignment. The approach is knowledge based in that it uses WordNet to build an adjective graph which is used to measure semantic distance between words of known polarity (reference or seed words...

One of the more complex tasks, prediction often involves deriving patterns from a training set, thus building a model of the population’s behavior that incorporates predictor variables and dependable variables. The model is then fed with new predictor data to produce estimations of the dependable variables. In the strict sense of the word predicting would involve a time difference between the p...

An empty spot refers to an empty hard-to-fill space which can be found in the records of the social interaction, and is the clue to the persons in the underlying social network who do not appear in the records. This contribution addresses a problem to predict relevant empty spots in social interaction. Homogeneous and inhomogeneous networks are studied as a model underlying the social interacti...

The purpose of this study was to examine how teacher delivery and student progress influenced preservice teachers’ perceptions of overall teaching effectiveness. Experienced teachers (n = 6) were videotaped teaching mini applied lessons under four conditions: (a) high teacher delivery and more student progress, (b) high teacher delivery and less student progress, (c) low teacher delivery and mo...

Conformal classifiers output confidence prediction regions, i.e., multi-valued predictions that are guaranteed to contain the true output value of each test pattern with some predefined probability. In order to fully utilize the predictions provided by a conformal classifier, it is essential that those predictions are reliable, i.e., that a user is able to assess the quality of the predictions ...