AAAI
2006
13 years 6 months ago
2006
The impact of learning algorithm optimization by means of parameter tuning is studied. To do this, two quality attributes, sensitivity and classification performance, are investig...
UAI
2008
13 years 6 months ago
2008
While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...
CSB
2004
IEEE
13 years 8 months ago
2004
IEEE
Current methods for interpreting oligonucleotidebased SNP-detection microarrays, SNP chips, are based on statistics and require extensive parameter tuning as well as extremely hig...
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...