3963 search results - page 447 / 793 » Designing for learning |
198
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KDD
2002
ACM
16 years 7 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
190
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ICPR
2000
IEEE
16 years 7 months ago
2000
IEEE
We describe a system which is designed to assist in extracting high-level information from sets or sequences of images. We show that the method of principal components analysis fo...
187
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Receiver Operator Characteristic (ROC) curves are commonly used to present results for binary decision problems in machine learning. However, when dealing with highly skewed datas...
176
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
155
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...