It is also important to make sure that the class intervals are mutually exclusive. Continuous data may, in theory ... leq h < 1.2$, $1.2 \leq h <1.4$, $1.4 \leq h <1.6$ etc. The lower boundary of the ...
We can compare discrete and continuous data by looking at how water comes out of a tap. A dripping tap shows discrete data, because each individual drop can be counted. The data collected will ...
and the lack of tail fault data worsens the catastrophic forgetting problem of traditional continuous learning methods. A new prototype space boundary alignment network (PSBAN) for bearing continuous ...
Latter leads to a loss and hence gradient magnitudes, which are dependent on the number of classes ... Discrete data training with GANs is usually much more difficult than the already difficult GAN ...