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» On Kernel Methods for Relational Learning
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ICML
1997
IEEE
14 years 9 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
SIGCSE
2010
ACM
181views Education» more  SIGCSE 2010»
14 years 3 months ago
Teaching the principles of the hacker curriculum to undergraduates
The “Hacker Curriculum” exists as a mostly undocumented set of principles and methods for learning about information security. Hacking, in our view, is defined by the ability...
Sergey Bratus, Anna Shubina, Michael E. Locasto
ICDAR
2009
IEEE
14 years 3 months ago
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
ICPR
2008
IEEE
14 years 3 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
KBSE
2007
IEEE
14 years 3 months ago
The business case for automated software engineering
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...
Tim Menzies, Oussama El-Rawas, Jairus Hihn, Martin...