1034 search results - page 55 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
ISBI
2002
IEEE
15 years 10 months ago
2002
IEEE
Microcalcification (MC) clusters in mammograms can be an indicator of breast cancer. In this work we propose for the first time the use of support vector machine (SVM) learning fo...
CGO
2009
IEEE
15 years 4 months ago
2009
IEEE
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...
ML
2002
ACM
14 years 9 months ago
2002
ACM
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
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ICAC
2006
IEEE
15 years 3 months ago
2006
IEEE
— 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...
CCS
2009
ACM
15 years 4 months ago
2009
ACM
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...