288 search results - page 29 / 58 » Improving Bayesian Network parameter learning using constrai... |
100
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IJCV
2008
15 years 1 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
140
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ATAL
2005
Springer
15 years 6 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
121
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NOMS
2008
IEEE
15 years 7 months ago
2008
IEEE
—Automatic service and application deployment and management is becoming possible through the use of service and infrastructure discovery and policy systems. But using the infras...
119
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EWSN
2004
Springer
16 years 26 days ago
2004
Springer
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
115
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...