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» Analyzing Problem Frames together with Solution Patterns
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BMCBI
2008
142views more  BMCBI 2008»
13 years 7 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
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
14 years 2 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...
DAC
1997
ACM
13 years 11 months ago
Static Timing Analysis of Embedded Software
This paper examines the problem of statically analyzing the performance of embedded software. This problem is motivated by the increasing growth of embedded systems and a lack of ...
Sharad Malik, Margaret Martonosi, Yau-Tsun Steven ...
AAAI
1996
13 years 9 months ago
What Is Planning in the Presence of Sensing?
The Airport Example The Omelette Example Copyright c 1996 American Association for Artificial Intelligence. All rights reserved. Despite the existence of programs that are able to ...
Hector J. Levesque
SIGMOD
2004
ACM
142views Database» more  SIGMOD 2004»
14 years 7 months ago
Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax
Recently, the Web has been rapidly "deepened" by many searchable databases online, where data are hidden behind query forms. For modelling and integrating Web databases,...
Zhen Zhang, Bin He, Kevin Chen-Chuan Chang