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» Approximate Learning of Dynamic Models
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ICASSP
2011
IEEE
14 years 10 months ago
Unsupervised determination of efficient Korean LVCSR units using a Bayesian Dirichlet process model
Korean is an agglutinative language that does not have explicit word boundaries. It is also a highly inflective language that exhibits severe coarticulation effects. These charac...
Sakriani Sakti, Andrew M. Finch, Ryosuke Isotani, ...
IAT
2006
IEEE
16 years 13 days ago
Resolution-Based Policy Search for Imperfect Information Differential Games
Differential games (DGs), considered as a typical model of game with continuous states and non-linear dynamics, play an important role in control and optimization. Finding optimal...
Minh Nguyen-Duc, Brahim Chaib-draa
ICRA
2002
IEEE
115views Robotics» more  ICRA 2002»
15 years 11 months ago
Parametric Primitives for Motor Representation and Control
The use of motor primitives for the generation of complex movements is a relatively new and interesting idea for dimensionality reduction in robot control. We propose a framework ...
R. Amit, Maja J. Mataric
ICALT
2009
IEEE
15 years 10 months ago
An E-learning Ecosystem Based on Cloud Computing Infrastructure
Recently the research community has believed that an e-learning ecosystem is the next generation elearning. However, the current models of e-learning ecosystems lack the support o...
Bo Dong, Qinghua Zheng, Jie Yang, Haifei Li, Mu Qi...
UAI
1997
15 years 7 months ago
Sequential Update of Bayesian Network Structure
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
Nir Friedman, Moisés Goldszmidt