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156
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KAIS
2008
221views more  KAIS 2008»
15 years 3 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
128
Voted
FLAIRS
2008
15 years 6 months ago
A New Approach to Model-Based Diagnosis Using Probabilistic Logic
We describe a new approach to model construction using transfer function diagrams that are consequently mapped into generalized loopy logic, a first-order, Turing-complete stochas...
Nikita A. Sakhanenko, Roshan Rammohan, George F. L...
266
Voted
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
16 years 5 months ago
Approximate Data Collection in Sensor Networks using Probabilistic Models
Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has propo...
David Chu, Amol Deshpande, Joseph M. Hellerstein, ...
147
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ICNC
2005
Springer
15 years 9 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
141
Voted
FASE
2008
Springer
15 years 5 months ago
Formal Approach to Integrating Feature and Architecture Models
If we model a family of software applications with a feature model and an architecture model, we are describing the same subject from different perspectives. Hence, we are running ...
Mikolás Janota, Goetz Botterweck