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MLMTA
2007
15 years 5 months ago
A Novel Hybrid Neural Network for Data Clustering
- Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer either poor performance of unsupervised lea...
Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-...
KDD
2007
ACM
244views Data Mining» more  KDD 2007»
16 years 4 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
INFOCOM
2009
IEEE
15 years 10 months ago
Approximation Algorithms for Data Broadcast in Wireless Networks
—Broadcasting is a fundamental operation in wireless networks and plays an important role in the communication protocol design. In multihop wireless networks, however, interferen...
Rajiv Gandhi, Yoo-Ah Kim, Seungjoon Lee, Jiho Ryu,...
BMCBI
2010
149views more  BMCBI 2010»
15 years 4 months ago
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Ke...
JCM
2008
77views more  JCM 2008»
15 years 4 months ago
In-Field Attack Proof of Injected False Data in Sensor Networks
In a large-scale sensor network individual sensors can be compromised to inject bogus sensing reports. While SEF can filter out the outfield false reports, it is incapable of detec...
Zheng Wang, Xiaodong Lee, Xinchang Zhang, Baoping ...