Titlebook: Advances in Artificial Intelligence; 4th Helenic Conferen Grigoris Antoniou,George Potamias,Dimitris Plexous Conference proceedings 2006 Sp

Confer

书目名称Advances in Artificial Intelligence影响因子(影响力)




书目名称Advances in Artificial Intelligence影响因子(影响力)学科排名




书目名称Advances in Artificial Intelligence网络公开度




书目名称Advances in Artificial Intelligence网络公开度学科排名




书目名称Advances in Artificial Intelligence被引频次




书目名称Advances in Artificial Intelligence被引频次学科排名




书目名称Advances in Artificial Intelligence年度引用




书目名称Advances in Artificial Intelligence年度引用学科排名




书目名称Advances in Artificial Intelligence读者反馈




书目名称Advances in Artificial Intelligence读者反馈学科排名

Liberate

Seriation—Maximization of a Dominance Indexficial neural network to learn from its mistakes and correct its output by adjusting its architecture as new data becomes available. The methodology is applied to the California power market and the results prove the efficiency and practicality of the proposed method.

peptic-ulcer

Seriation—Maximization of Gradient Indicesis demonstrated that the proposed updating algorithm outperforms the folding-in method with respect to the mean squared error between the aforementioned probabilities as they are estimated by the two updating methods and the original non-adaptive PLSI algorithm.

hedonic

https://doi.org/10.1057/9781137298997 concurrency and timing of events, valuable for developing plans under uncertainty. The neural network does contribute to the high complexity, but it offers learning capability to the synergy for future use. An example for coordinating two robotic arms under the constraints of time, space, and placement of the objects will be presented.

调整

范例

FID

Nomogram

Seriation—Unidimensional Scalingd representation in combination with support vector machines. Both binary and term-frequency representations achieve high precision rates while maintaining recall on equally high level, which is a crucial factor for anti-spam filters, a cost sensitive application.

教义

Seriation—Maximization of a Dominance Index account the evaluation results from the use of this wind power forecasting tool. Thus, an improved wind power forecasting is achieved and a better estimation of the confidence interval of the proposed model is provided.

无动于衷