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» A Topological Approach to Recognition
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ICML
2006
IEEE
16 years 7 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis
ICML
2005
IEEE
16 years 7 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
ICML
2003
IEEE
16 years 7 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
SIGSOFT
2004
ACM
16 years 7 months ago
Implementing protocols via declarative event patterns
This paper introduces declarative event patterns (DEPs) as a means to implement protocols while improving their traceability, comprehensibility, and maintainability. DEPs are desc...
Robert J. Walker, Kevin Viggers
WWW
2005
ACM
16 years 7 months ago
The volume and evolution of web page templates
Web pages contain a combination of unique content and template material, which is present across multiple pages and used primarily for formatting, navigation, and branding. We stu...
David Gibson, Kunal Punera, Andrew Tomkins