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Titlebook: Advances in Artificial Intelligence; 16th Conference of t Yang Xiang,Brahim Chaib-draa Conference proceedings 2003 Springer-Verlag Berlin H

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Efficient Mining of Indirect Associations Using HI-Mine,ral lobe and the premotor cortex of awake and anesthetized human patients during epilepsy surgery. Spontaneous changes of EEG patterns and those induced by barbiturate anesthesia are closely related to changes in neuronal discharge patterns, with a tendency to synchronization with rhythmical EEG wav
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https://doi.org/10.1007/978-3-658-07365-7re multiple phenomena occurring in the environment that need to be tracked concurrently. More generally, this structuring can be thought of as organizational control. Organizational control is a multilevel control approach in which organizational goals, roles, and responsibilities are dynamically de
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https://doi.org/10.1007/978-3-658-07365-7g synergy in the future between studies of artificial and natural intelligence..One intriguing open question regarding fMRI is whether it is possible to decode instantaneous cognitive states of human subjects based on their observed fMRI activity. If this were feasible, it would open the possibility
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https://doi.org/10.1007/978-94-009-3285-2cribes ScriptEase’s behavior patterns and user interface. This is demonstrated by generating code for BioWare’s . game. In addition to behaviors, the model is being extended to include encounter, dialog, and plot patterns.
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Immunoglobulins as Stress Markers? exhaustive search and show strong evidence that over 85% of the solutions in each problem can be found using our adaptive parallel genetic algorithms with a considerably faster speed. Furthermore, adaptive parallel genetic algorithm with the second method involving the median is consistently faster
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Nancy R. Milloy Ph.D, M.Sc., Dip.CST, MCST of some configuration parameters, we found that SAPS did not require any changes to effeciently solve unweighted MAX-SAT instances. For solving weighted MAX-SAT instances, a modified SAPS algorithm will be necessary, and we provide some thoughts on this topic of future research.
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https://doi.org/10.1057/9781137513731 develop predictive models that have (1) superior generalization ability compared with models produced by single task learning or standard MTL and (2) equivalent generalization ability compared with models produced by .MTL.
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