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ECML
2001
Springer
15 years 4 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
ICML
2009
IEEE
16 years 16 days ago
Generalization analysis of listwise learning-to-rank algorithms
This paper presents a theoretical framework for ranking, and demonstrates how to perform generalization analysis of listwise ranking algorithms using the framework. Many learning-...
Yanyan Lan, Tie-Yan Liu, Zhiming Ma, Hang Li
76
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IPMI
2009
Springer
16 years 17 days ago
Joint Bayesian Cortical Sulci Recognition and Spatial Normalization
In this paper, we study the recognition of about 60 sulcal structures over a new T1 MRI database of 62 subjects. It continues our previous work [7] and more specifically extends th...
Matthieu Perrot, Denis Rivière, Alan Tuchol...
ICSE
2009
IEEE-ACM
16 years 16 days ago
The road not taken: Estimating path execution frequency statically
A variety of compilers, static analyses, and testing frameworks rely heavily on path frequency information. Uses for such information range from optimizing transformations to bug ...
Raymond P. L. Buse, Westley Weimer
POPL
2009
ACM
16 years 11 days ago
Types and higher-order recursion schemes for verification of higher-order programs
We propose a new verification method for temporal properties of higher-order functional programs, which takes advantage of Ong's recent result on the decidability of the mode...
Naoki Kobayashi