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124
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IWANN
2009
Springer
15 years 7 months ago
2009
Springer
Ambient Intelligence has acquired great importance in recent years and requires the development of new innovative solutions. This paper presents a novel architecture which integrat...
115
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ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
120
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ECAL
2001
Springer
15 years 5 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
100
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GECCO
2004
Springer
15 years 6 months ago
2004
Springer
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
116
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NIPS
2008
15 years 2 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...