Sentence examples for more difficult training from inspiring English sources

The Belgians were leading a more difficult training exercise in which the African soldiers approached fortified targets from afar, and then assaulted the targets from several different directions — as they would in an actual raid.

If h0 is so weak that it cannot solve any of the given instances we use random walks backward from the goal state to create a sequence of successively more difficult training instances starting with ones that are guaranteed to be solvable by h0.

In comparison to previous studies in the Scandinavian countries [ 21, 49], very few patients progressed to more difficult training levels.

As mentioned above, the third sampling strategy required fewer training iterations than the other two in all experiments, suggesting that one should optimize the similarity function on more difficult training triplets first.

Moreover, the median of completed sessions in our study was 10, which is at the lower limit in terms of adequate dosage [ 15] and only 19% of patients progressed to a more difficult training level, although self-reported pain seemed not to be a limiting factor.

The aim of the weak learner is to find a good weak hypothesis h t : X → {-1, +1} for the distribution D t, where goodness is measured by the error of the hypothesis with respect to D t. Then D t is updated such that incorrectly classified examples have their weights increased, forcing the weak classifier to concentrate on the more difficult training examples.

10.54am: Training the police was more difficult than training the army, Dannatt says.

Many projects mentioned that when placing machines in more peripheral sites, training in how to use a computer was more difficult than training for the test procedure itself.

The more difficult house training cases to crack are those of dogs that, by mistake, have become 'reverse' house trained by their owners.

That is far more difficult than training a gripper or suction cup.

Supporting this observation, we compare training difficulty for several architectures, and show that vanilla RNNs are far more difficult to train, yet have slightly higher capacity.