To obtain a good approximation for data fitting with a spline, frequently we have to deal with knots as variables. The problem to be solved then becomes a continuous nonlinear and multivariate optimization problem with many local optima. Therefore, it is difficult to obtain the global optimum. In th
β¦ LIBER β¦
Mining data streams with concept drifts using genetic algorithm
β Scribed by Periasamy Vivekanandan; Raju Nedunchezhian
- Publisher
- Springer Netherlands
- Year
- 2011
- Tongue
- English
- Weight
- 327 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0269-2821
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