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BMCBI
2008
122views more  BMCBI 2008»
15 years 4 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
ISCI
2007
108views more  ISCI 2007»
15 years 4 months ago
A degree-constrained QoS-aware routing algorithm for application layer multicast
Application layer multicast (ALM) provides a low-cost solution for multicast over the Internet. It overcomes the deployment hurdle of IP multicast by moving all multicast related ...
Baoliu Ye, Minyi Guo, Daoxu Chen, Sanglu Lu
ESWA
2011
230views Database» more  ESWA 2011»
14 years 11 months ago
Multi-objective genetic algorithms for scheduling of radiotherapy treatments for categorised cancer patients
This paper presents a multi-objective optimisation model and algorithms for scheduling of radiotherapy treatments for categorised cancer patients. The model is developed considerin...
Dobrila Petrovic, Mohammad Morshed, Sanja Petrovic
AAAI
2012
13 years 7 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
DAC
2002
ACM
16 years 5 months ago
Combining strengths of circuit-based and CNF-based algorithms for a high-performance SAT solver
We propose Satisfiability Checking (SAT) techniques that lead to a consistent performance improvement of up to 3x over state-ofthe-art SAT solvers like Chaff on important problem ...
Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao ...