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144
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TDSC
2010
119views more  TDSC 2010»
14 years 11 months ago
On the General Applicability of Instruction-Set Randomization
We describe Instruction-Set Randomization (ISR), a general approach for safeguarding systems against any type of code-injection attack. We apply Kerckhoffs' principle to creat...
Stephen W. Boyd, Gaurav S. Kc, Michael E. Locasto,...
126
Voted
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 8 months ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
VMV
2008
107views Visualization» more  VMV 2008»
15 years 5 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
15 years 10 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
AOSD
2011
ACM
14 years 11 months ago
Experiences documenting and preserving software constraints using aspects
Software systems are increasingly being built as compositions of reusable artifacts (components, frameworks, toolkits, plug-ins, APIs, etc) that have non-trivial usage constraints...
Roberto Silveira Silva Filho, François Bron...