lazy learning造句

The disadvantages with lazy learning include the large space requirement to store the entire training dataset.
Another disadvantage is that lazy learning methods are usually slower to evaluate, though this is coupled with a faster training phase.
Because the target function is approximated locally for each query to the system, lazy learning systems can simultaneously solve multiple problems and deal successfully with changes in the problem domain.
"k "-NN is a type of instance-based learning, or lazy learning, where the function is only approximated locally and all computation is deferred until classification.
The main advantage gained in employing a lazy learning method, such as case-based reasoning, is that the target function will be approximated locally, such as in the k-nearest neighbor algorithm.
It's difficult to find lazy learning in a sentence. 用lazy learning造句挺难的

Viewed as a machine-learning algorithm, a Gaussian process uses lazy learning and a measure of the similarity between points ( this is the kernel function ) to predict the value for an unseen point from training data.