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

Confer

書目名稱Advances in Artificial Intelligence影響因子(影響力)




書目名稱Advances in Artificial Intelligence影響因子(影響力)學科排名




書目名稱Advances in Artificial Intelligence網(wǎng)絡公開度




書目名稱Advances in Artificial Intelligence網(wǎng)絡公開度學科排名




書目名稱Advances in Artificial Intelligence被引頻次




書目名稱Advances in Artificial Intelligence被引頻次學科排名




書目名稱Advances in Artificial Intelligence年度引用




書目名稱Advances in Artificial Intelligence年度引用學科排名




書目名稱Advances in Artificial Intelligence讀者反饋




書目名稱Advances in Artificial Intelligence讀者反饋學科排名

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.

調(diào)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.

教義

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.

無動于衷