Meta learning (computer science)

Meta learning is a subfield of Machine learning where automatic learning algorithms are applied on meta-data about machine learning experiments… (More)
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Topic mentions per year

Topic mentions per year

1996-2017
024619962017

Papers overview

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2017
2017
  • 2017
Deep autoregressive models have shown state-of-the-art performance in density estimation for natural images on large-scale… (More)
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2015
2015
In standard supervised learning, each training instance is associated with an outcome from a corresponding output space (e.g., a… (More)
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2013
2013
Selecting the best classifier among the available ones is a difficult task, especially when only instances of one class exist. In… (More)
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2012
2012
Sales prediction is an essential part of stock planning for the wholesales and retail business. It is a complex task because of… (More)
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2009
2009
We explore automation of protein structural classification using supervised machine learning methods on a set of 11,360 pairs of… (More)
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2007
2007
Losada (1999) observed management teams develop their annual strategic plans in a lab designed for studying team behavior. Based… (More)
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2005
2005
Choosing the right internal representation of examples and hypothesis is a key issue for many learning problems. Feature… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper, we present MLEANN (Meta-Learning Evolutionary Artificial Neural Network), an automatic computational framework for… (More)
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2000
2000
A system to support the mining task of sets of time series is presented A model of a set of time series is constructed by a… (More)
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1996
1996
Coached problem solving is known to be e ective for teaching cognitive skills. Simple forms of coached problem solving are used… (More)
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