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» An Approach to Programming Based on Concepts
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FTCS
1998
144views more  FTCS 1998»
15 years 8 months ago
Improving Software Robustness with Dependability Cases
Programs fail mainly for two reasons: logic errors in the code, and exception failures. Exception failures can account for up to 2/3 of system crashes [6], hence are worthy of ser...
Roy A. Maxion, Robert T. Olszewski
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 7 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
169
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CORR
2008
Springer
82views Education» more  CORR 2008»
15 years 6 months ago
Kaltofen's division-free determinant algorithm differentiated for matrix adjoint computation
Kaltofen has proposed a new approach in (Kaltofen, 1992) for computing matrix determinants without divisions. The algorithm is based on a baby steps/giant steps construction of Kr...
Gilles Villard
AUTOMATICA
2006
132views more  AUTOMATICA 2006»
15 years 6 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...
COR
2006
99views more  COR 2006»
15 years 6 months ago
Artificial neural networks and multicriterion analysis for sustainable irrigation planning
The objective of the present paper is to select the best compromise irrigation planning strategy for the case study of Jayakwadi irrigation project, Maharashtra, India. Four-phase...
K. Srinivasa Raju, D. Nagesh Kumar, Lucien Duckste...