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» Learning Rare Behaviours
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ALT
2002
Springer
14 years 6 months ago
On the Learnability of Vector Spaces
The central topic of the paper is the learnability of the recursively enumerable subspaces of V∞/V , where V∞ is the standard recursive vector space over the rationals with (c...
Valentina S. Harizanov, Frank Stephan
AAMAS
2005
Springer
14 years 3 months ago
Experiments in Subsymbolic Action Planning with Mobile Robots
The ability to determine a sequence of actions in order to reach a particular goal is of utmost importance to mobile robots. One major problem with symbolic planning approaches re...
John Pisokas, Ulrich Nehmzow
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 10 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
ATAL
2008
Springer
13 years 12 months ago
Sigma point policy iteration
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
Michael H. Bowling, Alborz Geramifard, David Winga...
SP
2002
IEEE
128views Security Privacy» more  SP 2002»
13 years 9 months ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...