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Effect of noise filtering on predictions : on the routes of chaos.

Guegan, Dominique - Centre d'Économie de la Sorbonne, Université Paris 1 … - 2008

The detection of chaotic behaviors in commodities, stock markets and weather data is usually complicated by large noise perturbation inherent to the underlying system. It is well known, that predictions, from pure deterministic chaotic systems can be accurate mainly in the short term. Thus, it...

Persistent link: https://www.econbiz.de/10005797753

PRIVACY-PRESERVING SVD-BASED COLLABORATIVE FILTERING ON PARTITIONED DATA

YAKUT, IBRAHIM; POLAT, HUSEYIN - In: International Journal of Information Technology & … 09 (2010) 03, pp. 473-502

many users in real time is imperative. Singular value decomposition (SVD) is applied to CF to achieve such goal. SVD …, they do not want to combine their data. In this article, we investigate how to provide SVD-based referrals on partitioned … it is possible to provide accurate SVD-based referrals on integrated data while preserving e-companies' privacy. …

Persistent link: https://www.econbiz.de/10008505639

Visualisation of Gene Expression Data Ã¢ÂÂ the GE-biplot, the Chip-plot and the Gene-plot

Pittelkow, Yvonne; Wilson, Susan - In: Statistical Applications in Genetics and Molecular Biology 2 (2007) 1, pp. 6-6

Visualisation methods for exploring microarray data are particularly important for gaining insight into data from gene expression experiments, such as those concerned with the development of an understanding of gene function and interactions. Further, good visualisation techniques are useful for...

Persistent link: https://www.econbiz.de/10005046577

Website-oriented recommendation based on heat spreading and tag-aware collaborative filtering

Zhang, Zi-Ke; Yu, Lu; Fang, Kuan; You, Zhi-Qiang; Liu, … - In: Physica A: Statistical Mechanics and its Applications 399 (2014) C, pp. 82-88

Singular Value Decomposition (SVD) technique to model users features and propose the tag-aware k-nearest neighbor Collaborative …

Persistent link: https://www.econbiz.de/10010744292

Sparse-smooth regularized singular value decomposition

Hong, Zhaoping; Lian, Heng - In: Journal of Multivariate Analysis 117 (2013) C, pp. 163-174

We consider penalized singular value decomposition (SVD) for a (noisy) data matrix when the left singular vector has a … contrast to the penalized SVD models proposed by Huang et al. (2009) [12] and by Lee et al. (2010) [14]. We carry out some …

Persistent link: https://www.econbiz.de/10011042044

Analysis of a Japan government intervention on the domestic agriculture market

Vitanov, Nikolay K.; Sakai, Kenshi; Jordanov, Ivan P.; … - In: Physica A: Statistical Mechanics and its Applications 382 (2007) 1, pp. 330-335

We investigate an economic system in which one large agent—the Japan government changes the environment of numerous smaller agents—the Japan agriculture producers by indirect regulation of prices of agriculture goods. The reason for this intervention was that before the oil crisis in 1974...

Persistent link: https://www.econbiz.de/10011064228

Protecting Research and Technology from Espionage

THORLEUCHTER, D.; POEL, D. VAN DEN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2012

In recent years, governmental and industrial espionage becomes an increased problem for governments and corporations. Especially information about current technology development and research activities are interesting targets for espionage. Thus, we introduce a new and automated methodology that...

Persistent link: https://www.econbiz.de/10011083097

Weak Signal Identification with Semantic Web Mining

THORLEUCHTER, D.; POEL, D. VAN DEN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2013

the largest number of relevant weak signals represented by singular value decomposition (SVD) dimensions. A case study …

Persistent link: https://www.econbiz.de/10011083143

Technology Classification with Latent Semantic Indexing

THORLEUCHTER, D.; POEL, D. VAN DEN - Faculteit Economie en Bedrijfskunde, Universiteit Gent - 2012

Many national and international governments establish organizations for applied science research funding. For this, several organizations have defined procedures for identifying relevant projects that based on prioritized technologies. Even for applied science research projects, which combine...

Persistent link: https://www.econbiz.de/10011083152

Using SVD for text classification

Nugumanova, Aliya; Baiburin, Yerzhan - International Institute of Social and Economic Sciences - 2014

Singular value decomposition (SVD) is a way to decompose a matrix into some successive approximation. This … then approximate it by SVD. Obtained matrix is very useful for creating new feature space. We prove our approach by …

Persistent link: https://www.econbiz.de/10011207173