Distance learning applications provide valuable opportunities to users with disabilities. To enhance the accessibility of the distance-learning portal to vision impaired users, we utilize analytical studies on human vision to develop a visibility based adaptation algorithm. Using this adaptation the quality levels and layout of the portal is adapted to enhance the visibility, to users with vari...

background and purpose: learning style is the processing of information and comprehension. if teachers present contents in a style that matches a student’s preferred learning style, academic performance and success will improve. if content retention improves it will result in an increase in the test scores. it is also important to determine if students, as a group, fit into a particular style o...

today, organizations that increasingly involved with dynamic environment and change must predict future changes in order to survive and succeed in a competitive world. the aim of this article was survey of the effect of innovation strategies on organizational entrepreneurship development with emphasis on organizational learning capacity in lorestan industrial estates. the research objective was...

Despite the widespread practical success of deep learning methods, our theoretical understanding of the dynamics of learning in deep neural networks remains quite sparse. We attempt to bridge the gap between the theory and practice of deep learning by systematically analyzing learning dynamics for the restricted case of deep linear neural networks. Despite the linearity of their input-output ma...

We propose in this paper a new active learning method that makes no considerations about the data distribution and does not need to adjust any free parameter. The proposed algorithm is based on extreme learning machines (ELM) and a perceptron with analytical calculation of weights. We show that the proposed model have good results using a reduced set of patterns.

We analyse online learning from finite training sets at noninfinitesimal learning rates TJ. By an extension of statistical mechanics methods, we obtain exact results for the time-dependent generalization error of a linear network with a large number of weights N. We find, for example, that for small training sets of size p ~ N, larger learning rates can be used without compromising asymptotic g...

The Semantic Web is an extension of the current web in which information is given well-defined meaning. The perspective of Semantic Web is to promote the quality and intelligence of the current web by changing its contents into machine understandable form. Therefore, semantic level information is one of the cornerstones of the Semantic Web. The process of adding semantic metadata to web resourc...

We have calculated analytical expressions for how the bias and variance of the estimators provided by various temporal di erence value estimation algorithms change with o ine updates over trials in absorbing Markov chains using lookup table representations. We illustrate classes of learning curve behavior in various chains, and show the manner in which TD is sensitive to the choice of its steps...