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» On-line Algorithms in Machine Learning
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MLG
2007
Springer
15 years 10 months ago
Improving Frequent Subgraph Mining in the Presence of Symmetry
While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases that have a few or no la...
Christian Desrosiers, Philippe Galinier, Pierre Ha...
DIGRA
2005
Springer
15 years 10 months ago
Realistic Agent Movement in Dynamic Game Environments
One of the greatest challenges in the design of realistic Artificial Intelligence (AI) in computer games is agent movement. Pathfinding strategies are usually employed as the core...
Ross Graham, Hugh McCabe, Stephen Sheridan
AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
15 years 6 months ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
ICML
2001
IEEE
16 years 5 months ago
Off-Policy Temporal Difference Learning with Function Approximation
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
Doina Precup, Richard S. Sutton, Sanjoy Dasgupta
ICML
2007
IEEE
16 years 5 months ago
Combining online and offline knowledge in UCT
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
Sylvain Gelly, David Silver