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ICML
1998
IEEE
15 years 10 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam
ICML
1998
IEEE
15 years 10 months ago
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Malcolm R. K. Ryan, Mark D. Pendrith
ICML
1996
IEEE
15 years 10 months ago
Unsupervised Learning Using MML
This paper discusses the unsupervised learning problem. An important part of the unsupervised learning problem is determining the numberofconstituent groups (componentsor classes)...
Jonathan J. Oliver, Rohan A. Baxter, Chris S. Wall...
ICALT
2006
IEEE
15 years 4 months ago
Highly Adaptive Learning for All - Vision and Plan
One of the major global problems is bringing learning to everyone on earth, at all ages. Current lockstep cookie-cuter approaches will not accomplish this, because students differ...
Alfred Bork
COLT
2001
Springer
15 years 2 months ago
Learning Rates for Q-Learning
In this paper we derive convergence rates for Q-learning. We show an interesting relationship between the convergence rate and the learning rate used in Q-learning. For a polynomi...
Eyal Even-Dar, Yishay Mansour