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» On Kernel Methods for Relational Learning
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CGO
2007
IEEE
15 years 4 months ago
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
Kapil Vaswani, Matthew J. Thazhuthaveetil, Y. N. S...
65
Voted
AUSAI
2007
Springer
15 years 3 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan
78
Voted
SIGMOD
2010
ACM
231views Database» more  SIGMOD 2010»
15 years 2 months ago
Automatically incorporating new sources in keyword search-based data integration
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
87
Voted
CIKM
2009
Springer
15 years 1 months ago
Blogger-centric contextual advertising
This paper addresses the concept of Blogger-Centric Contextual Advertising, which refers to the assignment of personal ads to any blog page, chosen in according to bloggers' ...
Teng-Kai Fan, Chia-Hui Chang
SP
1991
IEEE
121views Security Privacy» more  SP 1991»
15 years 1 months ago
The SRI IDES Statistical Anomaly Detector
SRI International’s real-time intrusion-detection expert system (IDES) system contains a statistical subsystem that observes behavior on a moniioreci cornpuier system and adapti...
H. S. Javitz, A. Valdes