21 search results - page 4 / 5 » Types of Cost in Inductive Concept Learning |
AAAI
2000
13 years 7 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
ALT
2003
Springer
14 years 3 months ago
2003
Springer
Solomonoff unified Occam’s razor and Epicurus’ principle of multiple explanations to one elegant, formal, universal theory of inductive inference, which initiated the field...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
KDD
2002
ACM
14 years 6 months ago
2002
ACM
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
KDD
2005
ACM
13 years 11 months ago
2005
ACM
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...