Titlebook: Artificial Neural Networks - ICANN 2008; 18th International C Véra K?rková,Roman Neruda,Jan Koutník Conference proceedings 2008 Springer-Ve

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alcohol-abuse

The Science and Teaching of Energybe simplified by using binary approximation of the probabilistic features. In experiments the resulting binary features improve recognition accuracy but also they are nearly independent - in accordance with the minimum entropy property.

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https://doi.org/10.1007/978-3-642-66276-8 the imbalanced nature of the data. In addition, we remove some of the final predicted binding sites on the basis of their biological plausibility. The results show that we can generate a new prediction that significantly improves on the performance of any one of the individual prediction algorithms.

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https://doi.org/10.1007/978-88-470-0804-5o move critical parts of the algorithm to other cores, platforms or use different levels of the instruction parallelism yet still run exactly the same computational flows – maintaining good comparability between different setups. For our experiments, we have chosen a multicore x86 system.

synchronous

Investigating Similarity of Ontology Instances and Its Causesf view we impute reasons that might have caused user’s interest in the content. Moreover, we propose a way to enumerate similarity for the particular user while taking into account individual user’s interests and preferences.

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A Neural Model for Delay Correction in a Distributed Control System to actuation delay effect. The compensator can be applied to distributed systems using online or off-line scheduling policies provided that the sampling to actuation delay can be evaluated. The effectiveness of the neural network delay compensator is evaluated using a networked control system with a pole-placement controller.

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Extraction of Binary Features by Probabilistic Neural Networksbe simplified by using binary approximation of the probabilistic features. In experiments the resulting binary features improve recognition accuracy but also they are nearly independent - in accordance with the minimum entropy property.

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