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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 10 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
SIGCOMM
2009
ACM
14 years 4 months ago
A programmable, generic forwarding element approach for dynamic network functionality
Communication networks are growing exponentially, and new services and applications are being introduced unceasingly. To meet the demands of these services and applications, curre...
Ran Giladi, Niv Yemini
CGO
2008
IEEE
14 years 4 months ago
Cole: compiler optimization level exploration
Modern compilers implement a large number of optimizations which all interact in complex ways, and which all have a different impact on code quality, compilation time, code size,...
Kenneth Hoste, Lieven Eeckhout
CASES
2006
ACM
14 years 3 months ago
Adapting compilation techniques to enhance the packing of instructions into registers
The architectural design of embedded systems is becoming increasingly idiosyncratic to meet varying constraints regarding energy consumption, code size, and execution time. Tradit...
Stephen Hines, David B. Whalley, Gary S. Tyson