Eyes for Learning: Preventing and Curing Vision-Related Learning Problems

investigating the effect of motivation and attitude towards learning english, learning style preferences and gender on iranian efl learners proficiency

تحقیق حاضر به منظور بررسی تاثیر انگیزه و نگرش نسبت به یادگیری زبان انگلیسی، ترجیحات سبک یادگیری و جنسیت بر بسندگی فراگیران ایرانی زبان انگلیسی انجام شد. برای این منظور، 154 فراگیر ایرانی زبان انگلیسی در این تحقیق شرکت کردند. سه ابزار جمع آوری داده ها شامل آزمون تعیین سطح بسندگی زبان انگلیسی آکسفورد، پرسشنامه ترجیحات سبک یادگیری براچ و پرسشنامه انگیزه و نگرش نسبت به یادگیری زبان انگلیسی به م...

the relationship between using language learning strategies, learners’ optimism, educational status, duration of learning and demotivation

with the growth of more humanistic approaches towards teaching foreign languages, more emphasis has been put on learners’ feelings, emotions and individual differences. one of the issues in teaching and learning english as a foreign language is demotivation. the purpose of this study was to investigate the relationship between the components of language learning strategies, optimism, duration o...

Efficient Inference and Learning for Computer Vision Labelling Problems

Discrete energy minimization has recently emerged as an indispensable tool for computer vision problems. It enables inference of the maximum a posteriori solutions of Markov and conditional random fields, which can be used to model labelling problems in vision. When formulating such problems in an energy minimization framework, there are three main issues that need to be addressed: (i) How to p...

Predicting and Preventing Coordination Problems in Cooperative Q-learning Systems

We present a conceptual framework for creating Qlearning-based algorithms that converge to optimal equilibria in cooperative multiagent settings. This framework includes a set of conditions that are sufficient to guarantee optimal system performance. We demonstrate the efficacy of the framework by using it to analyze several well-known multi-agent learning algorithms and conclude by employing i...

Concept Learning: Theory, Applications and Related Problems