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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 8 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
RTSS
2007
IEEE
14 years 1 months ago
An Energy-Driven Design Methodology for Distributing DSP Applications across Wireless Sensor Networks
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...
ISCC
2007
IEEE
14 years 1 months ago
Long Horizon End-to-End Delay Forecasts: A Multi-Step-Ahead Hybrid Approach
A long horizon end-to-end delay forecast, if possible, will be a breakthrough in traffic engineering. This paper introduces a hybrid approach to forecast end-to-end delays using ...
Vinh Bui, Weiping Zhu, Antonio Pescapè, Ale...
BMCBI
2007
168views more  BMCBI 2007»
13 years 7 months ago
Benchmarking consensus model quality assessment for protein fold recognition
Background: Selecting the highest quality 3D model of a protein structure from a number of alternatives remains an important challenge in the field of structural bioinformatics. M...
Liam J. McGuffin
ICANN
2005
Springer
14 years 1 months ago
Associative Learning in Hierarchical Self Organizing Learning Arrays
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
Janusz A. Starzyk, Zhen Zhu, Yue Li