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. 2014 Jul 9;2014:675234. doi: 10.1155/2014/675234

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