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ICML
2009
IEEE
16 years 1 months ago
Decision tree and instance-based learning for label ranking
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier
IROS
2009
IEEE
180views Robotics» more  IROS 2009»
16 years 1 months ago
Control of redundant robots using learned models: An operational space control approach
Abstract— We present an adaptive control approach combining forward kinematics model learning methods with the operational space control approach. This combination endows the rob...
Camille Salaün, Vincent Padois, Olivier Sigau...
ICASSP
2007
IEEE
16 years 1 months ago
A New Robust Frequency Domain Echo Canceller with Closed-Loop Learning Rate Adaptation
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
Jean-Marc Valin, Iain B. Collings
ACIVS
2006
Springer
15 years 10 months ago
Interactive Learning of Scene Context Extractor Using Combination of Bayesian Network and Logic Network
The vision-based scene understanding technique that infers scene-interpreting contexts from real-world vision data has to not only deal with various uncertain environments but also...
Keum-Sung Hwang, Sung-Bae Cho
FLAIRS
2001
15 years 8 months ago
Structural Learning in Object Oriented Domains
When constructing a Bayesian network, it can be advantageous to employ structural learning algorithms to combine knowledge captured in databases with prior information provided by...
Olav Bangsø, Helge Langseth, Thomas D. Niel...