237 search results - page 20 / 48 » Incremental Learning in Inductive Programming |
90
Voted
TNN
2010
14 years 4 months ago
2010
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
127
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JMLR
2012
12 years 12 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
81
Voted
ML
2000
ACM
14 years 9 months ago
2000
ACM
Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the ...
194
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CP
2009
Springer
15 years 10 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
113
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ILP
2007
Springer
15 years 3 months ago
2007
Springer
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...