Results 261 to 270 of about 15,174,398 (300)
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Online Multitask Learning

2006
We study the problem of online learning of multiple tasks in parallel. On each online round, the algorithm receives an instance and makes a prediction for each one of the parallel tasks. We consider the case where these tasks all contribute toward a common goal.
Ofer Dekel, Philip M. Long, Yoram Singer
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Online Learning with Constraints

2006
We study online learning where the objective of the decision maker is to maximize her average long-term reward given that some average constraints are satisfied along the sample path. We define the reward-in-hindsight as the highest reward the decision maker could have achieved, while satisfying the constraints, had she known Nature’s choices in ...
Shie Mannor, John N. Tsitsiklis
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Gamification of Online Learning

2015
The gamification of online learning has been a subject of interest lately. This study attempts to explore two things in particular, the effects of gamification on learning and the moderating effects of user characteristics. The results demonstrate that the gamification elements contribute to higher learning outcomes while two user characteristics ...
Jincheul Jang   +2 more
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The Future of Online Learning

eLearn, 2011
Today's era is one of pervasive technology. Encompassing laptops and smart phones to wikis and blogs, the digital environment makes communication, collaboration and information sharing easier than ever imagined. As a result, the world of higher education has been revolutionized by the digital age.
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Organizational learning online

Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 2003
In times of continuous changes, enforced through globalization and networking, organizations face the need both to react quickly to experienced or occurring changes, and to act pro-actively to foreseen developments. An effective way for organizations to act and react is to model the business at the process level and to re-construct or rearrange this ...
Simone Stoiber, Christian Stary
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Structural Online Learning

2016
We study the problem of learning ensembles in the online setting, when the hypotheses are selected out of a base family that may be a union of possibly very complex sub-families. We prove new theoretical guarantees for the online learning of such ensembles in terms of the sequential Rademacher complexities of these sub-families.
Mehryar Mohri, Scott Yang
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Online Learning and the Doctorate

eLearn, 2014
As the popularity of online doctoral programs grows, it's vital for learners to have an accurate picture of the professional opportunities that await them within industry and academia.
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Online Learning Indicators

eLearn, 2011
Presented are 11 issues that indicators of necessary course design. The Absence of one or more indicators in an online class can create difficulty for students and, in turn, cause learning to suffer. The result is an unsuccessful online learning experience.
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Learning in Online Advertising

Marketing Science, 2019
This paper investigates how incentives to learn ad performance affect the advertisers’ bidding strategies, as well as the publisher’s optimal mechanism.
W. Jason Choi, Amin Sayedi
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Online Learning Barriers

2009
The impact of cognitive styles preference and of achievement motivation on the intensity of selected barrier perception in on-line learning was tested on 234 university level student sample. The results of the research don’t indicate statistically significant correlations between the achievement motivation and on-line learning barriers perception.
Jozef Simuth, Ivan Sarmany-Schuller
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