Inductive bias

Known as: Learning bias 
The inductive bias (also known as learning bias) of a learning algorithm is the set of assumptions that the learner uses to predict outputs given… (More)
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Topic mentions per year

1986-2017
0102019862017

Papers overview

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2002
2002
This paper studies the effects of boosting in the context of different classification methods for text categorization, including… (More)
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2001
2001
The selective transfer of task knowledge within the context of artificial neural networks is studied in the MTL learning… (More)
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Highly Cited
2000
Highly Cited
2000
A major problem in machine learning is that of inductive bias: how to choose a learner’s hypothesis space so that it is large… (More)
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2000
2000
An important di erence in inductive bias between machine learning approaches is whether they assume the e ects of di erent… (More)
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Highly Cited
1997
Highly Cited
1997
We study task sequences that allow for speeding up the learner's average reward intake through appropriate shifts of inductive… (More)
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1995
1995
Many engineering problems may be described as a search for one near optimal description amongst many possibilities, given certain… (More)
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1995
1995
  • 1995
In order to learn more about the behaviour of case-based reasoners as learning systems, we form-alise a simple case-based learner… (More)
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Highly Cited
1995
Highly Cited
1995
This paper extends the currently accepted model of inductive bias by identifying six categories of bias and separates inductive… (More)
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Highly Cited
1993
Highly Cited
1993
This paper suggests that it may be easier to learn several hard tasks at one time than to learn these same tasks separately. In… (More)
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Highly Cited
1988
Highly Cited
1988
We show that the notion of inductive bias in concept learning can be quantified in a way that directl_v relates to learning… (More)
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