174 search results - page 14 / 35 » Advances in Instance Selection for Instance-Based Learning A... |
ICDM
2003
IEEE
15 years 2 months ago
2003
IEEE
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
ALGORITHMICA
2006
14 years 9 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...
ROBIO
2006
IEEE
15 years 3 months ago
2006
IEEE
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
IJCAI
2007
14 years 11 months ago
2007
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...