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CORR
2011
Springer
147views Education» more  CORR 2011»
14 years 7 months ago
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
Ridwan Al Iqbal
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 4 months ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
KDD
1998
ACM
106views Data Mining» more  KDD 1998»
15 years 4 months ago
Simultaneous Reliability Evaluation of Generality and Accuracy for Rule Discovery in Databases
This paper presents an algorithm for discovering conjunction rules with high reliability from data sets. The discovery of conjunction rules, each of which is a restricted form of ...
Einoshin Suzuki
85
Voted
ICML
2000
IEEE
16 years 1 months ago
FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
Joseph O'Sullivan, John Langford, Rich Caruana, Av...
85
Voted
ICML
2009
IEEE
16 years 1 months ago
Curriculum learning
Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more ...
Jérôme Louradour, Jason Weston, Ronan...