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ECML
2007
Springer
15 years 10 months ago
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
Jan Ramon, Kurt Driessens, Tom Croonenborghs
CIS
2004
Springer
15 years 9 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li
129
Voted
CIRA
2007
IEEE
179views Robotics» more  CIRA 2007»
15 years 10 months ago
Learning Tactic-Based Motion Models of a Moving Object with Particle Filtering
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
Yang Gu, Manuela M. Veloso
PPSN
1998
Springer
15 years 8 months ago
Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks
In this paper we present AntNet, a novel adaptive approach to routing tables learning in packet-switched communications networks. AntNet is inspired by the stigmergy model of commu...
Gianni Di Caro, Marco Dorigo
NIPS
1998
15 years 5 months ago
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model
Fraud causes substantial losses to telecommunication carriers. Detection systems which automatically detect illegal use of the network can be used to alleviate the problem. Previo...
Jaakko Hollmén, Volker Tresp