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BMCBI
2008
142views more  BMCBI 2008»
13 years 11 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BMCBI
2007
110views more  BMCBI 2007»
13 years 11 months ago
Selection of long oligonucleotides for gene expression microarrays using weighted rank-sum strategy
Background: The design of long oligonucleotides for spotted DNA microarrays requires detailed attention to ensure their optimal performance in the hybridization process. The main ...
Guangan Hu, Manuel Llinás, Jingguang Li, Pe...
IROS
2007
IEEE
175views Robotics» more  IROS 2007»
14 years 5 months ago
Simulation and weights of multiple cues for robust object recognition
Reliable recognition of objects is an important capabaility in the progress towards getting agents to accomplish and assist in a variety of useful tasks such as search and rescue ...
Sarah Aboutalib, Manuela M. Veloso
AI
2007
Springer
13 years 11 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
ICDCSW
2008
IEEE
14 years 5 months ago
Fast Link Assessment in Wireless Mesh Networks by Using Non-Constant Weight Code
Abstract— The wireless mesh network is experiencing tremendous growth with the standardization of IEEE 802.11 and IEEE 802.16 technologies. Compared to its wired counterpart, the...
Ravi Nelavelli, Rajesh Prasad, Hongyi Wu