Sciweavers

914 search results - page 106 / 183
» The Computational Complexity of Probabilistic Planning
Sort
View
HRI
2007
ACM
15 years 3 months ago
Efficient model learning for dialog management
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...
Finale Doshi, Nicholas Roy
PROCEDIA
2010
116views more  PROCEDIA 2010»
14 years 10 months ago
Towards fully autonomic peer-to-peer systems
Large-scale distributed applications are becoming more and more demanding in terms of efficiency and flexibility of the technological infrastructure, for which traditional soluti...
Michele Amoretti
SIGGRAPH
2010
ACM
15 years 4 months ago
Terrain-adaptive bipedal locomotion control
We describe a framework for the automatic synthesis of biped locomotion controllers that adapt to uneven terrain at run-time. The framework consists of two components: a per-foots...
Jia-chi Wu, Zoran Popovic
HPCN
1995
Springer
15 years 3 months ago
Discrete optimisation and real-world problems
In the global economy, proper organisation and planning of production and storage locations, transportation and scheduling are vital to retain the competitive edge of companies. Th...
Josef Kallrath, Anna Schreieck
CVPR
2003
IEEE
16 years 1 months ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...