115 search results - page 2 / 23 » The Computational Complexity of Monotonicity in Probabilisti... |
CDC
2008
IEEE
14 years 22 days ago
2008
IEEE
Abstract— This paper is concerned with control applications over lossy data networks. Sensor data is transmitted to an estimation-control unit over a network, and control command...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
PODC
2009
ACM
14 years 1 months ago
2009
ACM
The (M, W)-controller, originally studied by Afek, Awerbuch, Plotkin, and Saks, is a basic distributed tool that an abstraction for managing the consumption of a global resource i...
IJAR
2008
13 years 6 months ago
2008
While quantitative probabilistic networks (QPNs) allow the expert to state influences between nodes in the network as influence signs, rather than conditional probabilities, infer...
UAI
2008
13 years 7 months ago
2008
While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...