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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 7 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
JIPS
2010
195views more  JIPS 2010»
13 years 2 months ago
Distributed and Scalable Intrusion Detection System Based on Agents and Intelligent Techniques
Abstract--The Internet explosion and the increase in crucial web applications such as ebanking and e-commerce, make essential the need for network security tools. One of such tools...
Aly M. El-Semary, Mostafa Gadal-Haqq M. Mostafa
CORR
2006
Springer
135views Education» more  CORR 2006»
13 years 7 months ago
Classification of Ordinal Data
Many real life problems require the classification of items into naturally ordered classes. These problems are traditionally handled by conventional methods intended for the class...
Jaime S. Cardoso
BMCBI
2008
147views more  BMCBI 2008»
13 years 7 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
ICMCS
2005
IEEE
103views Multimedia» more  ICMCS 2005»
14 years 28 days ago
Neighborhood issue in single-frame image super-resolution
Super-Resolution is the problem of generating one or a set of high-resolution images from one or a sequence of lowresolution frames. Most methods have been proposed for super-reso...
K. Su, Qi Tian, Qing Xue, Nicu Sebe, Jingsheng Ma