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SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
COLING
1992
14 years 11 months ago
1992
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
COLT
2000
Springer
15 years 2 months ago
2000
Springer
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
SIGCSE
1994
ACM
15 years 1 months ago
1994
ACM
An experiment in collaborative learning was conducted in two introductory programming courses at Loyola College in Maryland. Data collected included background information on stud...
CONNECTION
2006
14 years 9 months ago
2006
By learning a range of possible times over which the effect of an action can take place, a robot can reason more effectively about causal and contingent relationships in the world...