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NIPS
2008
15 years 4 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
ACL
2009
15 years 12 days ago
Learning with Annotation Noise
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
Eyal Beigman, Beata Beigman Klebanov
119
Voted
ICRA
2009
IEEE
115views Robotics» more  ICRA 2009»
15 years 9 days ago
Trajectory generation of robotic fingers based on tri-axial tactile data for cap screwing task
In a previous paper, we developed a robotic finger equipped with optical three-axis tactile sensors, of which the sensing cell can separately detect normal and shearing forces. Wit...
Masahiro Ohka, Nobuyuki Morisawa, Hanafiah B. Yuss...
ATAL
2009
Springer
15 years 9 months ago
Evolutionary testing of autonomous software agents
A system built in terms of autonomous agents may require even greater correctness assurance than one which is merely reacting to the immediate control of its users. Agents make su...
Cu D. Nguyen, Anna Perini, Paolo Tonella, Simon Mi...
136
Voted
ISSTA
2004
ACM
15 years 8 months ago
Evolutionary testing of classes
Object oriented programming promotes reuse of classes in multiple contexts. Thus, a class is designed and implemented with several usage scenarios in mind, some of which possibly ...
Paolo Tonella