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Traditional online kernel learning analysis assumes independently identically distributed (i.i.d.) about the training sequence. Recent studies reveal that when the loss function is smooth and strongly convex, given $T$ i.i.d. training instances, a constant sampling complexity of random Fourier features is sufficient to ensure $O(\log T/T)$ convergence rate of excess risk, which is optimal in online...
The scientific cost drive Parameters identification and screening can improve the civil airplane development cost estimation accuracy, and then realize control and management of the development cost effectively. According to the estimation of the conceptual design stage of civil aircraft cost is studied, considering the lack of the information of civil aircraft cost parameters, parameters have been...
This paper will present a general and efficient methodology for data acquisition in Advanced Metering Infrastructure (AMI). Compressed distributed sensing using random walk (CDS(RW)) will be explored to acquire user load data from smart meters. This paper proposes to perform joint reconstruction of 2D user load profile using both spatial and temporal correlations. In this way, high data compression...
A Cognitive Radio Network (CRN) based Wireless Sensor Network (WSN), as an extension of CRN, is explored for radio frequency (RF) passive target intrusion detection. Compared to a cheap WSN, the CRN based WSN is expected to deliver better results due to its strong communication functions and powerful computing ability. Issues addressed in this paper include experimental architecture, waveform design,...
By using of the composite vector with increment of diversity and scoring function to express the information of sequence, a support vector machine (SVM) algorithm for predicting the eight types of membrane proteins is proposed. The overall jackknife success rate is 91.81% what is higher than other results. In order to evaluate the predictive method, the six types of membrane proteins are predicted...
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