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» Picking the Right Problem Frame-An Empirical Study
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PAMI
2011
13 years 2 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
CAISE
2007
Springer
14 years 1 months ago
Analyzing the Dynamic Cost Factors of Process-Aware Information Systems: A Model-Based Approach
Introducing process-aware information systems (PAIS) in enterprises is usually associated with high costs. It is therefore crucial to understand those factors that determine these ...
Bela Mutschler, Manfred Reichert, Stefanie Rinderl...
ALT
2001
Springer
14 years 4 months ago
Real-Valued Multiple-Instance Learning with Queries
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
RE
2008
Springer
13 years 7 months ago
Design Science, Engineering Science and Requirements Engineering
For several decades there has been a debate in the computing sciences about the relative roles of design and empirical research, and about the contribution of design and research ...
Roel Wieringa, J. M. G. Heerkens
PR
2008
131views more  PR 2008»
13 years 7 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...