Titlebook: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B

Aspirin

Xiaoming Chen,Wanquan Liu,Jianhuang Lai,Ke Fanavior in response to changes in the supporting infrastructure and surrounding physical environment. A key issue in the design and development of such system is the assessment of their effectiveness, both in terms of their ability to meet the required QoS under different operating conditions, and in

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干旱

CURT

确定方向

Daniel Fahey,Tom Gedeon,Dingyun Zhuo changes in the systems’ operational contexts. Control theory provides verifiable feedback models to realize this kind of autonomous control for a broad class of systems for which precise quantitative or logical discrete models can be defined. Recent MAPE-K models, along with variants such as the h

Androgen

Peipei Yang,Kaizhu Huang,Cheng-Lin Liu.g., safety, QoS). However, understanding the implications of these decisions . is difficult due to the different types and degrees of uncertainty that affect such systems (e.g., simplifying assumptions, human-in-the-loop). To provide some assurances about self-adaptive system designs, evidence can

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Control-Group

Agent Personalized Call Center Traffic Prediction and Call Distributionon implement exclusively inductive machine learning, which gives often under accurate prediction for call center abnormal traffic jam. This paper proposes an agent personalized call prediction method that encodes agent skill information as the prior knowledge to call prediction and distribution. The

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Conspiracy