Which facial characteristics do people rely on when forming personality impressions? Previous research has uncovered an array of features that influence people’s impressions. Even though some (classes of) features, such as resemblances to emotional expressions or width-to-height ratio (fWHR), play a central role in theories social perception, their relative importance impression formation remai...

This research examined different types of writing errors performed by Islamic Vocational High School students undertaking the Arabic course. The current study also discussed plausible causes committed students. A mixed-method approach was used to investigate and analyze a corpus students’ writing. data were collected through documentation obtained from essays tenth eleventh-grade with 40 respon...

We study the learnability of enumerable families L of uniformly recursive languages in dependence on the number of allowed mind changes, i.e., with respect to a well{studied measure of e ciency. We distinguish between exact learnability (L has to be inferred w.r.t. L) and class preserving learning (L has to be inferred w.r.t. some suitable chosen enumeration of all the languages from L) as well...

Learning about fractions is a critical step on the path to high school mathematics, yet many children never master basic knowledge such as fraction arithmetic procedures. To better understand these difficulties, the present study describes a computational model of fraction arithmetic problem solving. The model demonstrates that the majority of empirically observed errors over all four arithmeti...

It is now well-known that the feasibility of inductive learning is ruled by statistical properties linking the empirical risk minimization principle and the “capacity” of the hypothesis space. The discovery, a few years ago, of a phase transition phenomenon in inductive logic programming proves that other fundamental characteristics of the learning problems may similarly affect the very possibi...

In many data mining applications the imbalanced learning problem is becoming ubiquitous nowadays. When the data sets have an unequal distribution of samples among classes, then these data sets are known as imbalanced data sets. When such highly imbalanced data sets are given to any classifier, then classifier may misclassify the rare samples from the minority class. To deal with such type of im...

Hierarchical Bayesian Models (HBMs) have been used with some success to capture empirically observed patterns of underand overgeneralization in child language acquisition. However, as is well known, HBMs are “ideal” learning systems, assuming access to unlimited computational resources that may not be available to child language learners. Consequently, it remains crucial to carefully assess the...

We will present an overview of qualitative probabilistic networks in the context of skin diseases with children. The basic framework will be explained, with particular attention to the notions of qualitative influence, product synergy and intercausal reasoning. The drawbacks of this basic approach soon become apparent; most notably, the problem of overabstraction or overgeneralization. Answerin...

The concept of generalizability is not homogeneous and monolithic, but can be analyzed into four types: the generalizability of a theory to different settings, the generalizability of a theory within a setting, the generalizability of a measurement or observation, and the generalizability of a variable, construct, or other concept. In this study, we affirm the legitimacy of the statistical, sam...

Four studies assessed recent bottom-up theories of stereotyping by examining the contribution of race-related appearance qualities to impressions of Black, White, and Korean faces by Black, White, and Korean participants. Results supported the feature-trait association (FTA) hypothesis (Blair, Judd, Sadler, & Jenkins, 2002) and the familiar face overgeneralization (FFO) hypothesis (Zebrowitz, B...