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Automatically assigning functions for unknown proteins is a key task in computational biology. Proteins in nature have multiple classes according to the functions they perform. Many efforts have been made to cast the protein function prediction into a multi-label learning problem. This paper proposes a novel Cluster Tree based Multi-label Learning algorithm (CTML) for protein function prediction....
Relation extraction aims at discovering relations between entities from free text, and it is a crucial part of information extraction. Recently, kernel methods have seen successfully applied in relation extraction.
Relation extraction aims at discovering relations between entities from free text, and it is a crucial part of information extraction. Recently, kernel methods have seen successfully applied in relation extraction. In this paper, various kernel methods in relation extraction from free text are discussed, including syntactic parsing, kernel functions, as well as their training algorithms. Major difficulties...
This paper introduces a new method of electrocardiogram (ECG) R-wave detection algorithm based on LabVIEW. The algorithm adopts the adaptive difference threshold value method for identifying the R-wave, and calculates the heart rate by the R-R interval. It has the advantages of high detection rate, fast processing, and easy completing and transplanting, therefore the researches lay the foundation...
A three-phase copper bus bars arrangement in low voltage system is investigated. Each phase main conductor consists in one up to four sub-conductors with rectangular cross sections. The short circuit may introduce great hazardous forces. In order to ensure bus bars and power system operate in security, verifying of short-circuit dynamic stability should be made. Three methods of calculating short-circuit...
The paper selects the panel data of 14 leading banks in Chinese banking market in 1996-2007 periods and makes analyzes of the impact of foreign financial institution entry on the efficiency of Chinese banking industry. And the result shows that the X-efficiency of Chinese commercial bank is continuously upgrading and the efficiency of banks with foreign strategic investors is higher than that without...
A new load flow method for large shipboard power system with multiple generators which combined Gauss-Seidel method and forward-backward method is presented. In the proposed method, an shipboard power system is divided into a main power supply network and several radial distribution networks, which are deal with respectively. The forward-backward sweep method is used to solve the power flow for each...
Learning-from-abstraction (LFA) is a recently proposed model-based distributed data mining approach which aims to the mining process both scalable and privacy preserving. However how to set the right trade-off between the abstraction levels of the local data sources and the global model accuracy is crucial for getting the optimal abstraction, especially when the local data are inter-correlated to...
With the next-generation Web aiming to further facilitate data/information sharing and aggregation, providing data privacy protection support in an open networked environments becomes increasingly important. Learning-from abstraction is a recently proposed distributed data mining approach which first abstracts data at local sources using the agglomerative hierarchical clustering (AGH) algorithm and...
Customer data privacy is known to be a factor which makes just-in-time data sharing and mining among enterprises challenging. Learning-from-abstraction is a recently proposed paradigm for privacy preserving distributed data mining where distributed local data sources are protected by probabilistic data abstraction. In this paper, we investigate the use of a normalized negative log likelihood together...
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