To this end, a novel weakly supervised, multi-instance learning algorithm is designed to learn instance-wise vehicle detectors from such "weak labels".
We repeat this 100 times, randomizing the instances in the learning and testing groups, and the order of the input learning instances.
It is shown that, in a restrictive case (but consistent to prevent overfitting), the problem boils down to a multiple kernel learning instance with infinitely many kernels.
Each sample represented one machine learning instance with gene expression values as features and 'pluripotent' or 'non-pluripotent' as class labels.
"It has been heartbreaking to learn of instances of abuse and it sickens me that young athletes would be exploited in such a manner". .
Previous works exhibit that AdaBoost is prone to be overfitting in dealing with the noisy data sets due to its consistent high weights assignment on hard-to-learn instances (mislabeled instances or outliers).
This kind of applications also does not count with many learning instances [41].
Due to the small number of learning instances, we used leave-one-out cross-validation when performing experiments for eukaryotic organisms.
We learn, for instance, that Annie smokes "intensely, staring at her naked feet".
We learn, for instance, that Mitchell Crook does not use fabric softener on his sheets.
We learn, for instance, that "almost to a man, Muslim clerics in their sermons" endorsed the 9/11 attacks.
