نتایج جستجو برای: long learning

تعداد نتایج: 1342432  

Journal: :The Review of Financial Studies 2017

Journal: :CoRR 2016
Hojjat Salehinejad

The advantage of recurrent neural networks (RNNs) in learning dependencies between time-series data has distinguished RNNs from other deep learning models. Recently, many advances are proposed in this emerging field. However, there is a lack of comprehensive review on memory models in RNNs in the literature. This paper provides a fundamental review on RNNs and long short term memory (LSTM) mode...

1999
Paul H. Kvam

1. Active Learning Methods In statistics, active learning (AL) methods include projects with class participation and hands-on experiments. Projects might involve sampling, regression analysis, experimental design and the analysis of variance. Cooperative learning is a form of AL in which small group interaction leads learning via peer instruction. Johnson and Johnson (1975) discuss various situ...

Introduction: Synaptic plasticity has been suggested as the primary physiological mechanism underlying memory formation. Many experimental approaches have been used to investigate whether the mechanisms underlying long-term potentiation (LTP) are activated during learning. Nevertheless, little evidence states that hippocampal-dependent learning triggers synaptic plasticity. In this study, we in...

2010
Sebastian Kelle Steinn E. Sigurðarson Wim Westera Marcus Specht

Digital Games as a means of learning have become more important in recent years. Infrastructural and sociological developments have created fertile grounds for game innovations, making use of latest technology and being welcomed by new generations of learners. This chapter focuses on an overview of the current state of the art of learning games, explaining different perspectives. As the gamers’...

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...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز - دانشکده ادبیات و زبانهای خارجی 1391

building on previous studies on intellectual features and learners’ grammar learning, the present study aimed at investigating whether intelligence criterion had any impact on efl learners’ english grammar learning across two intelligence levels. in the current study, the participants were divided into two experimental and control groups by administration of raven i.q. test. this led to the for...

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...

2004
Emi Nakamura Jón Steinsson Attila Ambrus Assaf Ben-Shoham Daniel Benjamin John Campbell Gary Chamberlain David Laibson

In this paper we seek to explain the behavior of the long term interest rate in the U.S. over the last 50 years using the idea that investors had only limited information about the process generating short term interest rates. Investors are assumed to behave according to the expectations hypothesis of the term structure but use econometric methods to learn about the appropriate model for short ...

2005
Matteo Gagliolo Jürgen Schmidhuber

We reformulate algorithm selection as a time allocation problem: all candidate algorithms are run in parallel, and their relative priorities are continually updated based on its current time to solution, estimated according to a parametric model that is trained and used while solving a sequence of problems.

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