Machine learning methods exploit similarities in users’ activity patterns to provide recommendations applications across a wide range of fields including entertainment, dating, and commerce. However, domains that demand protection personally sensitive data, such as medicine or banking, how can we learn recommendation models without accessing the data inadvertently leaking private information? M...

As it emerged from philosophical analyses and cognitive research, most concepts exhibit typicality effects, and resist to the efforts of defining them in terms of necessary and sufficient conditions. This holds also in the case of many medical concepts. This is a problem for the design of computer science ontologies, since knowledge representation formalisms commonly adopted in this field (such...

Next, we transform using the multinomial2logical function the multinomial predictors into dummy predictor variables , which are simply true or false for each categorical value of the selected multinomial variables. The think data frame has three extralinguistic variables that we have decided to exclude from the following statistical modeling, namely Register, Section, and Author (which are colu...

We present an empirical analysis of symbolic prototype learners for synthetic and real domains. The prototypes are learned by modifying the minimum-distance classiier to solve problems with symbolic attributes, attribute weighting, and its inability to learn multiple prototypes for a class. These extensions are implemented in SNMC. In the second half of this paper, we provide empirical analysis...

Implicit Leadership Theories (ILTs) are individuals’ perceptions of the traits and behaviors characterizing leaders. Four studies investigated the reliabilities and different types of validities for a scale developed to measure Iranian Implicit leadership Theories (IILTs). Study 1 used a qualitative method to extract the implicit theories of ideal leadership after interviewing 27 experts. The I...

We suggest a model of categorization based on prototypes. A set of entities, identified with some finite dimensional Euclidian space, is partitioned into a finite number of categories. Such a categorization is said to be generated by extended prototypes if there is a set of distinguished entities, one for each category, such that the categorization is determined by proximity to these prototypic...

-In this paper we consider a technique for pattern classification based upon the development of prototypes which capture the distinguishing features ("disjunctive prototypes") of each pattern class and, via cross-correlation with incoming test images, enable efficient pattern classification. We evaluate such a classification procedure with prototypes based on the images per se (direct code), Ga...

Canonical abstract prototypes are an innovative means for specifying and exploring visual and interaction design ideas. Intermediate between abstract task models and realistic or representational prototypes, canonical abstract prototypes provide designers with a standardized vocabulary for expre ssing visual and interaction designs independent of details of appearance and behavior. This common ...

A prototype reduction algorithm is proposed which simultaneous train both a reduced set of prototypes and a suitable local metric for these prototypes. Starting with an initial selection of a small number of prototypes, it iteratively adjusts both the position (features) of these prototypes and the corresponding local-metric weights. The resulting prototypes/metric combination minimizes a suita...