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ICML
2005
IEEE
16 years 7 months ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft
MCS
2001
Springer
15 years 10 months ago
Error Rejection in Linearly Combined Multiple Classifiers
In this paper, the error-reject trade-off of linearly combined multiple classifiers is analysed in the framework of the minimum risk theory. Theoretical analysis described in [12,1...
Giorgio Fumera, Fabio Roli
WSC
2007
15 years 8 months ago
A trace-based visual inspection technique to detect errors in simulation models
Generation of traces from a simulation model and their analysis is a powerful and common mean to debug simulation models. In this paper, we define a measure of progress for simul...
Peter Kemper
ALMOB
2008
85views more  ALMOB 2008»
15 years 6 months ago
Noisy: Identification of problematic columns in multiple sequence alignments
Motivation: Sequence-based methods for phylogenetic reconstruction from (nucleic acid) sequence data are notoriously plagued by two effects: homoplasies and alignment errors. Larg...
Andreas W. M. Dress, Christoph Flamm, Guido Fritzs...
OOPSLA
2004
Springer
15 years 11 months ago
Finding and preventing run-time error handling mistakes
It is difficult to write programs that behave correctly in the presence of run-time errors. Existing programming language features often provide poor support for executing clean-u...
Westley Weimer, George C. Necula