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» Evaluating algorithms that learn from data streams
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IROS
2007
IEEE
95views Robotics» more  IROS 2007»
16 years 1 months ago
Load estimation and control using learned dynamics models
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
Georgios Petkos, Sethu Vijayakumar
179
Voted
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
15 years 11 months ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
ICASSP
2009
IEEE
16 years 1 months ago
Using collective information in semi-supervised learning for speech recognition
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
JAIR
2002
163views more  JAIR 2002»
15 years 6 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
195
Voted
CIKM
2007
Springer
16 years 28 days ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera