4962 search results - page 665 / 993 » Stochastic Model Checking |
105
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MLDM
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
134
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PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
120
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SLS
2009
Springer
15 years 9 months ago
2009
Springer
Stochastic local search algorithms can now successfully solve MAXSAT problems with thousands of variables or more. A key to this success is how effectively the search can navigate...
109
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
111
Voted
PROFES
2007
Springer
15 years 8 months ago
2007
Springer
The cost of a Software Product Line (SPL) development project sometimes exceeds the initially planned cost, because of requirements volatility and poor quality. In this paper, we p...