nonlinear dimensionality reduction造句
例句與造句
- Nonlinear dimensionality reduction techniques tend to be more computationally demanding than PCA.
- Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.
- One example of this is nonlinear dimensionality reduction.
- Nonlinear dimensionality reduction will discard the correlated information ( the letter'A') and recover only the varying information ( rotation and scale ).
- The GSOM can be used for many preprocessing tasks in Data mining, for Nonlinear dimensionality reduction, for approximation of principal curves and manifolds, for classification.
- It's difficult to find nonlinear dimensionality reduction in a sentence. 用nonlinear dimensionality reduction造句挺難的
- A different approach to nonlinear dimensionality reduction is through the use of autoencoders, a special kind of feed-forward neural networks with a bottle-neck hidden layer.
- Below is a summary of some of the important algorithms from the history of "'manifold learning "'and "'nonlinear dimensionality reduction "'( NLDR ).
- For this variational problem, it can be shown that there exists a unique minimizer f ( Wahba, 1990 ) . The finite element discretization of this variational problem, the method of elastic maps, is used for data mining and nonlinear dimensionality reduction.