3449 search results - page 167 / 690 » A Framework for Multiple-Instance Learning |
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
We formalize the associative bandit problem framework introduced by Kaelbling as a learning-theory problem. The learning environment is modeled as a k-armed bandit where arm payof...
AI
2003
Springer
14 years 2 months ago
2003
Springer
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
FLAIRS
2007
13 years 11 months ago
2007
This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
IJCAI
2001
13 years 10 months ago
2001
We describe a framework that helps students learn from examples by generating example problem solutions whose level of detail is tailored to the students' domain knowledge. T...
IJCAI
2003
13 years 10 months ago
2003
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...