Constructing Topic Models of Internet of Things for Information Processing

Table 4

Machine learning’s topic prior (𝜑_𝑧) and word distributions (𝜑_𝑒,𝑧) of its related entities.

Machine learning	Judea Pearl	Pedro Domingos	Andrew Ng
Learning	Causal	Logic	Learning
Machine	Revisited	Markov	Stanford
Data	Markovian	Networks	Neural
Algorithm	Data	Learning	Deep
Representation	Counterfactual	MLNs	Networks
Theory	Artificial	Algorithm	Word
Examples	Explanations	Theory	Technology
Sparse	Independence	Knowledge	Model
Analysis	Path	Order	Google
Computational	Specificity	Models	Class
Artificial	Representation	Systems	Machine
Recognition	Proven	Representation	Artificial
Programming	Tags	Reasoning	Intelligence
Model	Embracing	World	System
Supervised	Tolerating	Structure	Data