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» The complexity of learning SUBSEQ(A)
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AAAI
2008
15 years 8 months ago
Potential-based Shaping in Model-based Reinforcement Learning
Potential-based shaping was designed as a way of introducing background knowledge into model-free reinforcement-learning algorithms. By identifying states that are likely to have ...
John Asmuth, Michael L. Littman, Robert Zinkov
ICONIP
2004
15 years 7 months ago
Generalization in Learning Multiple Temporal Patterns Using RNNPB
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Masato Ito, Jun Tani
ICGI
2010
Springer
15 years 7 months ago
Generalizing over Several Learning Settings
We recapitulate regular one-shot learning from membership and equivalence queries, positive and negative finite data. We present a meta-algorithm that generalizes over as many sett...
Anna Kasprzik
ISMIR
2005
Springer
132views Music» more  ISMIR 2005»
15 years 12 months ago
VOISE: Learning to Segregate Voices in Explicit and Implicit Polyphony
Finding multiple occurrences of themes and patterns in music can be hampered due to polyphonic textures. This is caused by the complexity of music that weaves multiple independent...
Phillip B. Kirlin, Paul E. Utgoff
ROBOCUP
2004
Springer
111views Robotics» more  ROBOCUP 2004»
15 years 11 months ago
Realtime Object Recognition Using Decision Tree Learning
Abstract. An object recognition process in general is designed as a domain specific, highly specialized task. As the complexity of such a process tends to be rather inestimable, m...
Dirk Wilking, Thomas Röfer