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ICPP
2007
IEEE
16 years 1 months ago
A Meta-Learning Failure Predictor for Blue Gene/L Systems
The demand for more computational power in science and engineering has spurred the design and deployment of ever-growing cluster systems. Even though the individual components use...
Prashasta Gujrati, Yawei Li, Zhiling Lan, Rajeev T...
ESCIENCE
2006
IEEE
16 years 1 months ago
Identifying Tools to Support Schools' Collaborative Teaching and Learning
Integration of e-Science and Grid technologies into curriculum teaching is currently an ambitious aim for teachers and school infrastructures to organise. However, it can expose c...
Hilary Smith, Joshua Underwood, Geraldine Fitzpatr...
VTS
2006
IEEE
108views Hardware» more  VTS 2006»
16 years 1 months ago
Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
Abstract— Numerous machine-learning-based test methodologies have been proposed in recent years as a fast alternative to the standard functional testing of mixed-signal/RF integr...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris
EWCBR
2004
Springer
16 years 1 months ago
Maintaining Case-Based Reasoning Systems: A Machine Learning Approach
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Niloofar Arshadi, Igor Jurisica
SIGCSE
1997
ACM
121views Education» more  SIGCSE 1997»
15 years 11 months ago
Application-based modules using apprentice learning for CS 2
A typical Data Structures (CS 2) course covers a wide variety of topics: elementary algorithm analysis; data structures including dynamic structures, trees, tables, graphs, etc.; ...
Owen L. Astrachan, Robert F. Smith, James T. Wilke...