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ECML
2007
Springer
14 years 3 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
ICCBR
2007
Springer
14 years 3 months ago
Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge
Abstract. Making case adaptation practical is a longstanding challenge for casebased reasoning. One of the impediments to widespread use of automated case adaptation is the adaptat...
David B. Leake, Jay H. Powell
ICSE
2007
IEEE-ACM
14 years 3 months ago
Workshop on Software Technologies for Ultra-Large Scale Systems
Given the inevitable trends towards increasing complexity of software-intensive systems, many future software-intensive systems will be ultra-large scale (ULS). Radical scale-up o...
Richard P. Gabriel, Rick Kazman, Linda M. Northrop...
MIDDLEWARE
2007
Springer
14 years 3 months ago
Hybrid Dissemination: Adding Determinism to Probabilistic Multicasting in Large-Scale P2P Systems
Abstract. Epidemic protocols have demonstrated remarkable scalability and robustness in disseminating information on internet-scale, dynamic P2P systems. However, popular instances...
Spyros Voulgaris, Maarten van Steen
APSEC
2005
IEEE
14 years 3 months ago
Supporting Knowledge Collaboration Using Social Networks in a Large-Scale Online Community of Software Development Projects
The scale-free network shown in the small world phenomenon indicates that our human society consists of a small number of people who play the role of hubs linked with many nodes (...
Masao Ohira, Tetsuya Ohoka, Takeshi Kakimoto, Naok...