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ECML
2006
Springer
15 years 8 months ago
Case-Based Label Ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
Klaus Brinker, Eyke Hüllermeier
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
15 years 11 months ago
Deep belief net learning in a long-range vision system for autonomous off-road driving
Abstract— We present a learning-based approach for longrange vision that is able to accurately classify complex terrain at distances up to the horizon, thus allowing high-level s...
Raia Hadsell, Ayse Erkan, Pierre Sermanet, Marco S...
CIMCA
2005
IEEE
15 years 10 months ago
Learning to feel the physics of a body
Despite the tremendous progress in robotic hardware and in both sensorial and computing efficiencies the performance of contemporary autonomous robots is still far below that of ...
Ralf Der, Frank Hesse, Georg Martius
ACSC
2000
IEEE
15 years 9 months ago
Developing Middleware for Web-Aware Systems: Lessons Learned
The World Wide Web has transformed itself in the last few years from a simple state-less multimedia platform to a global distributed processing environment. As Web computing gains...
Nikola B. Serbedzija
130
Voted
NIPS
2008
15 years 6 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