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» Parameterized Learning Complexity
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130
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ICPP
2008
IEEE
15 years 10 months ago
Parallelization and Characterization of Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong...
117
Voted
ICSM
2008
IEEE
15 years 9 months ago
Supporting software evolution analysis with historical dependencies and defect information
More than 90% of the cost of software is due to maintenance and evolution. Understanding the evolution of large software systems is a complex problem, which requires the use of va...
Marco D'Ambros
117
Voted
KBSE
2008
IEEE
15 years 9 months ago
Using Cluster Analysis to Improve the Design of Component Interfaces
For large software systems, interface structure has an important impact on their maintainability and build performance. For example, for complex systems written in C, recompilatio...
Rahmat Adnan, Bas Graaf, Arie van Deursen, Joost Z...
140
Voted
AMFG
2007
IEEE
315views Biometrics» more  AMFG 2007»
15 years 9 months ago
Structured Ordinal Features for Appearance-Based Object Representation
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
ShengCai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan...
116
Voted
CEC
2007
IEEE
15 years 9 months ago
A study on the design issues of Memetic Algorithm
— Over the recent years, there has been increasing research activities made on improving the efficacy of Memetic Algorithm (MA) for solving complex optimization problems. Partic...
Q. H. Nguyen, Yew-Soon Ong, Natalio Krasnogor