73 citations · 79 across the 6 of their papers we have counts for
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cs.CL2018
Modeling natural language emergence with integral transform theory and reinforcement learning
Bohdan Khomtchouk, Shyam Sudhakaran
Zipf's law predicts a power-law relationship between word rank and frequency in language communication systems and has been widely reported in a variety of natural language process…
cs.LG2018★ 73 cited
Polynomial Regression As an Alternative to Neural Nets
Xi Cheng, Bohdan Khomtchouk, Norman Matloff +1
Despite the success of neural networks (NNs), there is still a concern among many over their "black box" nature. Why do they work? Here we present a simple analytic argument that N…