Sentence examples for penalty for training from inspiring English sources

Increasing c imposes a higher penalty for training errors.

For classification, a parameter setting the weight (w) of the penalty for training error on positive examples should be set if the number of positive and negative examples in the data set is unbalanced.

(4) and (5) into Eq. (3), the QP problem becomes the maximization of the following expression: (6) L = ∑ i = 1 n α i − 1 2 ∑ i = 1 n ∑ j = 1 n α i α j y i y j (x i · x j ) under the constraints (7) ∑ i = 1 n α i y i = 0, 0 ≤ α i ≤ C, i = 1, 2, …, n where C is a penalty for training errors for soft-margin SVM and is equal to infinity for hard-margin SVM.

If the number of positive and negative examples in the data set is unbalanced, SVM can be further optimised by setting the weight (w) of the penalty for a training error on positive examples.

The managers could consider relaxing the emphasis on punctuality, and the subsequent penalty clauses for train drivers if the train is delayed due to a security incident.

For comparison with standard methods, we measured the performance of SSEARCH, blastpgp and CS-BLAST with both the default parameter set and the optimized gap penalties for the training set from SCOP20 in the same manner as that described above.

We evaluated both the detection performance and alignment quality of nine existing matrices, MIQS, MIQS.SCOP40-v and BLOP20 with their optimized gap penalties for the training set from SCOP20 using SSEARCH.

Thus all we can do is talk at rather than with them, threaten them, increase penalties for infractions, "train" them incessantly, get them up in the middle of the night.

Uptake of training and use of guidance could be facilitated by: audits of existing training, for example by the Royal College of General Practitioners or the Care Quality Commission; by on-line modules; by addressing training needs 'need better GP training – currently no penalty for the GP not doing this'.

The city's taxi commission is taking on what David S. Yassky, the taxi commissioner, has said could be a costly responsibility: educating drivers about the penalties for trafficking and training them to spot trafficking victims.

The RBF kernel was used in sequential minimal optimization (SMOreg) for training SVR with the kernel parameter g = [−10, 10] and penalty parameter C = [−10, 10].