Exact(46)
Balanced bootstrapping ensures that each training instance equally appears in the bootstrap samples.
For each new arriving training instance, both functions are updated using co-regularization optimization.
Particularly, each training instance is associated with a block of variables and all variables are divided naturally into manageable blocks.
Smaller increases in radius around the training instance in grey increase sensitivity in measured accuracy across the AD landscape.
This classifier is updated for each arriving training instance based on whether it predicted the instance correctly or not.
Specifically, k-nearest-neighbour and clustering reweighting methods are developed to estimate the importance of each training instance, and a weighted risk regression model is built for prediction.
Similar(14)
The N training instances were sampled separately for each task.
Training instances are recorded for three distinctive behaviors namely corridor following, obstacle avoidance and homing.
Consequently, transfer learning should be most profitable if a learning task with very few training instances is similar to a learning task with many training instances.
Uncovered test instances are assigned the default class value (or distribution) of the uncovered training instances.
(a) First, the root model is trained taking into account all training instances.
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