نتایج جستجو برای: batch and online learning

تعداد نتایج: 16981315  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان - دانشکده ادبیات و علوم انسانی 1392

the construct of self-efficacy has received increasing attention in research over the past two decades. many studies have been carried out 1.3 significance of the study this study has pedagogical implications since improving students’ self- efficacy and autonomy is important for promoting actual performance on classroom academic tasks. in academic settings, it has been shown that self-effi...

2006
Vitor R. Carvalho William W. Cohen

Online learning methods are typically faster and have a much smaller memory footprint than batch learning methods. However, in practice online learners frequently require multiple passes over the same training data in order to achieve accuracy comparable to batch learners. We investigate the problem of single-pass online learning, i.e., training only on a single pass over the data. We compare t...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده علوم تربیتی و روانشناسی 1393

the purpose of this study was to investigate the relationship between teachers’ class management practices with students’ self- regulated learning and academic self-efficacy. in this study relating to the management class, three dimensions, (training management, people management and behavior management) and three style (interventionist, interactionist and non-interventionist) was considered. r...

Journal: :CoRR 2018
Steven C. H. Hoi Doyen Sahoo Jing Lu Peilin Zhao

Online learning represents an important family of machine learning algorithms, in which a learner attempts to resolve an online prediction (or any type of decision-making) task by learning a model/hypothesis from a sequence of data instances one at a time. The goal of online learning is to ensure that the online learner would make a sequence of accurate predictions (or correct decisions) given ...

Journal: :CoRR 2013
Boyu Wang Joelle Pineau

While both cost-sensitive learning and online learning have been studied extensively, the effort in simultaneously dealing with these two issues is limited. Aiming at this challenge task, a novel learning framework is proposed in this paper. The key idea is based on the fusion of online ensemble algorithms and the state of the art batch mode cost-sensitive bagging/boosting algorithms. Within th...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان فارس - دانشکده ادبیات و علوم انسانی 1393

چکیده : هدف پژوهش حاضر، تعیین نقش واسطه‏ای اعتماد سازمانی در رابطه ی بین عدالت سازمانی و یادگیری سازمانی به روش تحلیل مسیر می‏باشد. برای این منظور با استفاده از روش نمونه گیری تصادفی ساده 1?0 نفر از کارکنان اداره ورزش و جوانان استان فارس انتخاب و به پرسشنامه های متشکل از ابعاد یادگیری سازمانی، عدالت سازمانی و اعتماد سازمانی پاسخ دادند. نتایج پژوهش به طور کلی نشان داد که رابطه ی عدالت سازمان...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه ایلام 1388

the present study was an attempt to determine the types of motivation and levels of foreign language learning anxiety among efl students studying at azad and state universities in kermanshah and to determine the relationship between these two factors and language proficiency and gender. to this end, the foreign language learning motivation scale, by deci and ryan )1985(, were administered to 12...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان - دانشکده ادبیات و علوم انسانی 1392

abstract the present study was conducted in order to investigate the impact of an integrated model of form-focused and task-based instruction on iranian efl learners vocabulary learning and retention.it also aimed to detect efl learners attitude towards the implementation of form-focused task-based vocabulary instruction in the classroom. in order to address the purposes of this study, a sampl...

2013
Sang-Woo Lee Min-Oh Heo Byoung-Tak Zhang

Sum–product networks (SPNs) are deep architectures that can learn and infer at low computational costs. The structure of SPNs is especially important for their performance; however, structure learning for SPNs has until now been introduced only for batch-type dataset. In this study, we propose a new online incremental structure learning method for SPNs. We note that SPNs can be represented by m...

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