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We consider the problem of time-series prediction with missing observations. We consider the autoregressive model (AR model) and cast the problem as a regression problem. On the basic of sampling methods and the online gradient descent (OGD), we propose efficient any-time methods to solve this problem. We show that our algorithm can learn the underlying model efficiently, meanwhile, is robust to the...
With large companies and corporations becoming increasingly responsible for data collection, in recent years, a growing number of scientists have proposed using a variety of algorithms and different theories to solve the database problem. Even though existing solutions are effective in many cases many, problems are left to solve during the integration of database. The entity resolution (ER) is a crucial...
Competitiveness measurement of ports should consider all internal and external factors. In this paper, we use a number of quantitative measurement indicators to evaluate the actual situation of Shenzhen port. By using factor analysis model, a small number of common factors are extracted to represent the large number of measurement indicators. Furthermore, this paper computes the evaluation scores...
The paper introduces the key questions and technical essentials involved in the PLC design of marine power propulsion. The whole design of the systemic technical scheme, the hardware composition and configuration of the PLC system, the integral network frame of the system, the PLC program designing of the hypogyny computer are also involved. It recommends modular program designing concept of PLC software...
In this paper, we considered the problem of sample imbalance in the context of gene selection. Based on simple random sampling, two evaluation models were proposed to investigate the effect of sample imbalance on gene selection. Under the proposed evaluation models, the performances of five famous gene selection methods on the unbalanced data were compared. The experimental results indicated that...
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