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» Analyzing the Errors of Unsupervised Learning
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ICSE
2007
IEEE-ACM
14 years 7 months ago
Usability Implications of Requiring Parameters in Objects' Constructors
The usability of APIs is increasingly important to programmer productivity. Based on experience with usability studies of specific APIs, techniques were explored for studying the ...
Jeffrey Stylos, Steven Clarke
LWA
2004
13 years 8 months ago
Modeling Rule Precision
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
Johannes Fürnkranz
ENTCS
2007
156views more  ENTCS 2007»
13 years 7 months ago
Bounded Model Checking with Parametric Data Structures
Bounded Model Checking (BMC) is a successful refutation method to detect errors in not only circuits and other binary systems but also in systems with more complex domains like ti...
Erika Ábrahám, Marc Herbstritt, Bern...
MCS
2002
Springer
13 years 7 months ago
Boosting and Classification of Electronic Nose Data
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
Francesco Masulli, Matteo Pardo, Giorgio Sbervegli...
CTRSA
2011
Springer
243views Cryptology» more  CTRSA 2011»
12 years 11 months ago
Better Key Sizes (and Attacks) for LWE-Based Encryption
We analyze the concrete security and key sizes of theoretically sound lattice-based encryption schemes based on the “learning with errors” (LWE) problem. Our main contribution...
Richard Lindner, Chris Peikert