CORR
2010
Springer
13 years 11 months ago
2010
Springer
One major function of social networks (e.g., massive online social networks) is the dissemination of information such as scientific knowledge, news, and rumors. Information can be...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Entity matching is an important and difficult step for integrating web data. To reduce the typically high execution time for matching we investigate how we can perform entity matc...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Due to the flexibility and adaptability of human, manual handling work is still very important in industry, especially for assembly and maintenance work. Well-designed work operat...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
In this paper, we study the Nair-El Gamal outer bound and Marton's inner bound for general two-receiver broadcast channels. We show that the Nair-El Gamal outer bound can be m...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
CORR
2010
Springer
13 years 11 months ago
2010
Springer
In this paper we present novel algorithmic solutions for several resource processing and data transfer multicriteria optimization problems. The results of most of the presented tec...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Inter-symbol interference (ISI) channels with data dependent Gauss Markov noise have been used to model read channels in magnetic recording and other data storage systems. The Vite...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
l invaders in the form of pathogens. In this research, and abstract model of DC behaviour is developed and subsequently used to form an algorithm, the DCA. The abstraction process ...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...