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Multivariate time series (MTS) exist in many applications. Due to all kinds of interference factors, missing data in MTS is inevitable. Aiming at this problem, a filling method based on least squares support vector machine (LSSVM) is proposed. Firstly, for the series containing missing data, similar series are searched, and its results are viewed as the training set. Secondly, to make use of the correlation...
This paper studies information diffusion in networks. Traditional models are all history insensitive, i.e. only giving activated nodes a one-time chance to activate each of its neighboring nodes with some probability. But history dependent interactions between people are often observed in real world. This paper propose a new model called the history sensitive cascade model (HSCM) that allows activated...
As a new research scope, blind signal separation (BSS) is attracting more and more interests. Independent component analysis (ICA) is an important solution to the problem of BSS, under the assumption conditions of ICA, a BSS algorithm using oblique projection operators is proposed in this paper. The autocorrelation matrix of mixing matrix is used to construct the objective function while the principle...
Self-propagating malware spreads over the network quickly and automatically. Malware propagation should be modeled accurately for fast detection and defense. State-of-the-art malware propagation models fail to consider a number of issues. First, the malware can scan a host for multiple vulnerabilities on multiple ports. Second, the vulnerability scanning can be done by multiple threads concurrently...
Influence of production cost on export price is always the hot topic of foreign trade research. Previous researches just use original series to establish models but not fully discover information content of time series signals. Taking China's citrus trade for example, the paper uses wavelet analysis to decompose production cost and export price into four series, which are trend, cycle, volatility...
This paper presents a new design and implementation of a 32-bit decimal floating-point (DFP) antilogarithmic converter based on the digit-recurrence algorithm with selection by rounding. The converter can calculate the accurate antilogarithm (10dec) of the 32-bit DFP numbers which are defined in the IEEE 754-2008 standard. The sequential architecture of the proposed 32-bit DFP antilogarithmic converter...
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