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152
Voted
TNN
2010
143views Management» more  TNN 2010»
14 years 10 months ago
Using unsupervised analysis to constrain generalization bounds for support vector classifiers
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
156
Voted
BMCBI
2011
14 years 10 months ago
A comparison and user-based evaluation of models of textual information structure in the context of cancer risk assessment
Background: Many practical tasks in biomedicine require accessing specific types of information in scientific literature; e.g. information about the results or conclusions of the ...
Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Sil...
119
Voted
KBSE
2008
IEEE
15 years 10 months ago
Inferring Finite-State Models with Temporal Constraints
Finite state machine-based abstractions of software behaviour are popular because they can be used as the basis for a wide range of (semi-) automated verification and validation ...
Neil Walkinshaw, Kirill Bogdanov
113
Voted
ML
2006
ACM
15 years 9 months ago
ML grid programming with ConCert
Grid computing has become increasingly popular with the growth of the Internet, especially in large-scale scientific computation. Computational Grids are characterized by their s...
Tom Murphy VII
165
Voted
PPDP
1999
Springer
15 years 8 months ago
A Calculus for Interaction Nets
hemical abstract machine Shinya Sato Himeji Dokkyo University, Faculty of Econoinformatics, 7-2-1 Kamiohno, Himeji-shi, Hyogo 670-8524, Japan Ian Mackie LIX, CNRS UMR 7161, ´Ecole...
Maribel Fernández, Ian Mackie