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COLT
2004
Springer
14 years 3 months ago
Regularization and Semi-supervised Learning on Large Graphs
We consider the problem of labeling a partially labeled graph. This setting may arise in a number of situations from survey sampling to information retrieval to pattern recognition...
Mikhail Belkin, Irina Matveeva, Partha Niyogi
IEAAIE
2004
Springer
14 years 3 months ago
Iterative Semi-supervised Learning: Helping the User to Find the Right Records
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
Chris Drummond
DAGM
2007
Springer
14 years 2 months ago
Efficient Learning of Neural Networks with Evolutionary Algorithms
Abstract. In this article we present EANT2, a method that creates neural networks (NNs) by evolutionary reinforcement learning. The structure of NNs is developed using mutation ope...
Nils T. Siebel, Jochen Krause, Gerald Sommer
IJCAI
2007
13 years 11 months ago
An Experts Algorithm for Transfer Learning
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
Erik Talvitie, Satinder Singh
AAAI
1998
13 years 11 months ago
A Feature-Based Learning Method for Theorem Proving
Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
Matthias Fuchs