1118 search results - page 129 / 224 » Relational temporal difference learning |
126
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CORR
2010
Springer
15 years 1 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
128
Voted
ECAI
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Interval temporal logics formalize reasoning about interval structures over (usually) linearly ordered domains, where time intervals are the primitive ontological entitie...
142
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BMCBI
2005
15 years 1 months ago
2005
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
126
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MICAI
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
ICWSM
2008
15 years 2 months ago
2008
On-line discussions are composed of multiple inter-woven threads, regardless of whether that threaded structure is made explicit in the representation and presentation of the conv...