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135
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ISMB
2000
15 years 5 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
ENTCS
2010
123views more  ENTCS 2010»
15 years 3 months ago
Combining Architecture-based Software Reliability Predictions with Financial Impact Calculations
Software failures can lead to substantial costs for the user. Existing models for software reliability prediction do not provide much insight into this financial impact. Our appro...
Franz Brosch, Ralf Gitzel, Heiko Koziolek, Simone ...
114
Voted
CORR
2006
Springer
121views Education» more  CORR 2006»
15 years 3 months ago
On the Foundations of Universal Sequence Prediction
Solomonoff completed the Bayesian framework by providing a rigorous, unique, formal, and universal choice for the model class and the prior. We discuss in breadth how and in which...
Marcus Hutter
121
Voted
WWW
2007
ACM
16 years 4 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno
117
Voted
ICCD
2006
IEEE
115views Hardware» more  ICCD 2006»
16 years 16 days ago
Long-term Performance Bottleneck Analysis and Prediction
— Identifying performance bottlenecks is important for microarchitects and application developers to produce high performance microprocessor designs and application software. Man...
Fei Gao, Suleyman Sair