learning of abnormalities is a considerable challenge in data mining and knowledge discovery. exceptional phenomena detect among huge records of the database which contains a large number of normal records and very few abnormal ones. this is important to promote confidence to a limited number of records for effective learning of abnormality. in this study, a new approach based on the abnormalit...

The adult education literature emphasizes community building in order to increase effectiveness and success of online teaching and learning. In this chapter the Community of Inquiry Framework that was developed by Garrison, Anderson and Archer (2000) has been introduced as a promising theory for adult learning in online environments. The chapter discusses the potential of the CoI framework to c...

The question of how children learn what words mean is one that has long perplexed philosophers and psychologists. As Quine famously pointed out, the problem of accounting for word learning is a deep one: simply hearing a word uttered in the presence of an object tells a learner next to nothing about its meaning. Yet somehow, children learn to understand and use words correctly. How? Here, we fi...

Formal courses in adult education are most often housed within schools or faculties that include other disciplines such as teacher education, psychology, or training and development. Adult educators teaching these courses may feel obligated to follow the procedures and practices of the institution as well as of the programs with which they are associated. This creates a set of paradoxes and con...

introduction: neurohormones like testosterone and estradiol have an important role in learning and memory. the hippocampus is essentially involved in learning and memory, and is known to be a target for estradiol actions. estrogen receptors (ers) are highly expressed in ca1 of rat hippocampus, and mediate the effects of estrogen on learning and memory. estradiol receptor belong to a family of t...

The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. This paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (MDNN) and studies the stability of this algorithm. Also, stable learning algorithm for parameters of ...

This paper explores the use of the deep learning group model in affirming the self-transformative effects often experienced among members of self-help groups for Adult Children of Alcoholics (AGOAs). A theoretical discussion of the construction and reconstruction of self is derived from the tenets of symbolic interaction, social construction and narrative theory. The deep learning group (DLG) i...