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» On the Complexity of Function Learning
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BMCBI
2006
186views more  BMCBI 2006»
15 years 5 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
ASIACRYPT
2009
Springer
15 years 11 months ago
Foundations of Non-malleable Hash and One-Way Functions
Non-malleability is an interesting and useful property which ensures that a cryptographic protocol preserves the independence of the underlying values: given for example an encryp...
Alexandra Boldyreva, David Cash, Marc Fischlin, Bo...
AML
2008
124views more  AML 2008»
15 years 5 months ago
The elementary computable functions over the real numbers: applying two new techniques
The basic motivation behind this work is to tie together various computational complexity classes, whether over different domains such as the naturals or the reals, or whether def...
Manuel Lameiras Campagnolo, Kerry Ojakian
ICALT
2005
IEEE
15 years 10 months ago
Visualizing Topic Maps for e-Learning
TM4L is an e-learning environment providing editing and browsing support for developing and using Topic Maps-based digital course libraries. The TM4L functionality is enhanced by ...
Darina Dicheva, Christo Dichev, Dandan Wang
CEC
2007
IEEE
15 years 9 months ago
Support vector machines for computing action mappings in learning classifier systems
XCS with Computed Action, briefly XCSCA, is a recent extension of XCS to tackle problems involving a large number of discrete actions. In XCSCA the classifier action is computed wi...
Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi