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141
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CGO
2007
IEEE
15 years 10 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...
127
Voted
ML
2000
ACM
185views Machine Learning» more  ML 2000»
15 years 3 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
129
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MICRO
2007
IEEE
113views Hardware» more  MICRO 2007»
15 years 3 months ago
The High Cost of a Cheap Lesson
y abstract, it is grounded in the experience of many markets. As I will illustrate, it explains much strategic behavior. Information spreads With a bit of effort, any technically s...
Shane Greenstein
153
Voted
AIME
2007
Springer
15 years 9 months ago
An Intelligent Aide for Interpreting a Patient's Dialysis Data Set
Many machines used in the modern hospital settings offer real time physiological monitoring. Haemodialysis machines combine a therapeutic treatment system integrated with sophistic...
Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, La...
126
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IJCNN
2006
IEEE
15 years 9 months ago
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD
— This paper reports a new document retrieval method using non-relevant documents. Especially, this paper reports a comparison of retrieval efficiency between One Class Support ...
Takashi Onoda, Hiroshi Murata, Seiji Yamada