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This paper investigates the problem of online active learning for training classification models from sequentially arriving data. This is more challenging than conventional online learning tasks since the learner not only needs to figure out how to effectively update the classifier but also needs to decide when is the best time to query the label of an incoming instance given limited label budget...
Performance Index is the foundational and essential indices of measurement of SoS(System of Systems) capability. We propose ten sorts of mapping relationships description between kernel elements of SoS architecture based on the DSM/DMM model. The formalization of model transformation, combination and transposing operators are described as the foundation of proposition of formulation to measure the...
It is important to extract pattern's feaure and recognize them by proper model in pattern classification. In this paper, we propose the modified LDA to compress the extracted feature, and design the classifier with Precision Constrained Gaussian Model. A series of experiments are offered and the experimental result shows that our PCGM can achieve a much better generalization and MLDA has a better...
The meaning of sound quality assessment is summarized. Based on the analysis of some characteristics of human auditory system and the model of loudness perception, an efficient loudness estimation approximate algorithm is proposed using the regression analysis method. Experimental results show that the approximate algorithm has fine performance for speech signal. Additionally, different people's speech...
Emergent behavior is a core trait of SoSs. But the emergence cannot be predicted before its appearance. We propose a method which using Semi-autonomous Agent based simulation to detect the emergent behaviors of SoSs. Agent based Modeling and Simulation are available for the observation of emergent behaviors of SoSs. We propose the multi-agent based simulation methods to demonstrate the evolution of...
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