Description Pattern Recognition has its origins in engineering, whereas Machine Learning grew out of computer science.
Also, the pra.
In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models.
However, these activities can be viewed as two facets of the same ?eld, and together they have undergone substantial development over the past ten years.
Description Pattern Recognition has its origins in engineering, whereas Machine Learning grew out of computer science