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ICML
2004
IEEE
14 years 9 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
KDD
2006
ACM
139views Data Mining» more  KDD 2006»
14 years 9 months ago
Generating semantic annotations for frequent patterns with context analysis
As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Research in frequent pattern mining has so far mostly focused on ...
Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Che...
KDD
2006
ACM
143views Data Mining» more  KDD 2006»
14 years 9 months ago
Mining for misconfigured machines in grid systems
Grid systems are proving increasingly useful for managing the batch computing jobs of organizations. One well known example for that is Intel which uses an internally developed sy...
Noam Palatin, Arie Leizarowitz, Assaf Schuster, Ra...
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
14 years 8 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
14 years 5 months ago
A code refinement methodology for performance-improved synthesis from C
Although many recent advances have been made in hardware synthesis techniques from software programming languages such as C, the performance of synthesized hardware commonly suffe...
Greg Stitt, Frank Vahid, Walid A. Najjar