If so, then to possess the water concept is already to know perceptually where (instances of) the stuff resides.
Many real-world pattern recognition problems can be modeled using multiple-instance learning (MIL), where instances are grouped into bags, and each bag is assigned a label.
In certain scenarios, where instances of bullying have been exposed, it's been hands-off almost to a fault.
We extend the traditional HTM paradigm with an original top node in order to improve HTMs performance in problems where instances unfold over time.
The main motivation of hierarchy is to keep track of exactly where instances were implemented in the system.
A world complying with intuitionistic logic, and where instances of the Law of Excluded Middle fail, will be impossible in the third sense.
The first experiment (test 1) is where instances of all 31 image classes are included in the source and target training data.
This type of problem led to the introduction of cost-sensitive classifiers where instances are predicted to have the class that has the lowest expected cost [12, 13].
A possible approach could be the relaxation of the crisp clustering, considering a soft clustering model where instances can belong to different clusters with different grades of membership.
Variants of the algorithms where instances are distributed tend to outperform the other approaches.
