Results 241 to 250 of about 8,207,067 (292)
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Advances in Computer and Electrical Engineering, 2019
A very challenging issue in real-world data is that in many domains like medicine, finance, marketing, web, telecommunication, management, etc. the distribution of data among classes is inherently imbalanced.
Lincy Mathews, Seetha Hari
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A very challenging issue in real-world data is that in many domains like medicine, finance, marketing, web, telecommunication, management, etc. the distribution of data among classes is inherently imbalanced.
Lincy Mathews, Seetha Hari
semanticscholar +1 more source
Surgery, 2015
Fig. The interplay between Dreyfus and Dreyfus’ stages of skills acquisition and Ebbinghaus’ learning curve. THE USE OF THE WORD ‘‘STEEP’’ in relation to a learning curve can lead to confusion. The ‘‘learning curve’’ was first described by Ebbinghaus, a psychologist and mathematician, in his study on memorization.
Philippe, Grange, Mubashir, Mulla
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Fig. The interplay between Dreyfus and Dreyfus’ stages of skills acquisition and Ebbinghaus’ learning curve. THE USE OF THE WORD ‘‘STEEP’’ in relation to a learning curve can lead to confusion. The ‘‘learning curve’’ was first described by Ebbinghaus, a psychologist and mathematician, in his study on memorization.
Philippe, Grange, Mubashir, Mulla
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Proceedings of the International Symposium on Big Data and Artificial Intelligence, 2018
One reason why deep neural networks require lots of data is that most current training methods are only driven by the task goal information. We propose a novel instructor which can guide networks to learn useful abstraction. Since the instructor provides additional learning power, the efficiency of data is significantly improved.
Dagui Chen, Feng Chen 0007
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One reason why deep neural networks require lots of data is that most current training methods are only driven by the task goal information. We propose a novel instructor which can guide networks to learn useful abstraction. Since the instructor provides additional learning power, the efficiency of data is significantly improved.
Dagui Chen, Feng Chen 0007
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2012
Effectiveness of students‘ learning in higher education can be enhanced by providing the proper learning context, especially at the beginning of the curriculum. In the ‚learning to learn‘ project described and evaluated in this paper the aim was to speed up the self-directed learning skills of first year students‘ by letting them work in the so called ...
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Effectiveness of students‘ learning in higher education can be enhanced by providing the proper learning context, especially at the beginning of the curriculum. In the ‚learning to learn‘ project described and evaluated in this paper the aim was to speed up the self-directed learning skills of first year students‘ by letting them work in the so called ...
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Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Pool-based active learning is an important technique that helps reduce labeling efforts within a pool of unlabeled instances. Currently, most pool-based active learning strategies are constructed based on some human-designed philosophy; that is, they reflect what human beings assume to be “good labeling questions.” However, while such ...
Wei-Ning Hsu, Hsuan-Tien Lin
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Pool-based active learning is an important technique that helps reduce labeling efforts within a pool of unlabeled instances. Currently, most pool-based active learning strategies are constructed based on some human-designed philosophy; that is, they reflect what human beings assume to be “good labeling questions.” However, while such ...
Wei-Ning Hsu, Hsuan-Tien Lin
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To learn or not to learn ......
1996Multiagent systems in which agents interact with each other are now being proposed as a solution to many problems which can be grouped together under the “distributed problem solving” umbrella. For such systems to work properly, it is necessary that agents learn from their environment and adapt their behaviour accordingly.
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Learning to Learn or Learning to Coordinate?
Academy of Management Proceedings, 2013Research on experience spillovers suggests that alliance experience positively influences subsequent acquisition performance because of similarities in managing these two corporate development acti...
Korcan Kavusan, Niels G. Noorderhaven
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Merrill-Palmer Quarterly, 2004
The field of children's learning was thriving when the Merrill-Palmer Quarterly was launched; the field later went into eclipse and now is in the midst of a resurgence. This commentary examines reasons for these trends, and describes the emerging field of children's learning.
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The field of children's learning was thriving when the Merrill-Palmer Quarterly was launched; the field later went into eclipse and now is in the midst of a resurgence. This commentary examines reasons for these trends, and describes the emerging field of children's learning.
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Learning-to-learn efficiently with self-learning
Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning, 2022Shruti Kunde +3 more
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Machine learning for microbiologists
Nature Reviews Microbiology, 2023Andrew Maltez Thomas +2 more
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