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CGO
2009
IEEE
15 years 11 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
CHI
2007
ACM
16 years 4 months ago
Usability of voting systems: baseline data for paper, punch cards, and lever machines
In the United States, computer-based voting machines are rapidly replacing other older technologies. While there is potential for this to be a usability improvement, particularly ...
Michael D. Byrne, Kristen K. Greene, Sarah P. Ever...
201
Voted
ICGI
2010
Springer
15 years 5 months ago
Grammatical Inference Algorithms in MATLAB
Although MATLAB1 has become one of the mainstream languages for the machine learning community, there is still skepticism among the Grammatical Inference (GI) community regarding t...
Hasan Ibne Akram, Colin de la Higuera, Huang Xiao,...
DATE
2006
IEEE
88views Hardware» more  DATE 2006»
15 years 10 months ago
Using conjugate symmetries to enhance gate-level simulations
State machine based simulation of Boolean functions is substantially faster if the function being simulated is symmetric. Unfortunately function symmetries are comparatively rare....
Peter M. Maurer
156
Voted
ICAC
2006
IEEE
15 years 10 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...