Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a new machine learning concept called randomized machine learning, in which model parameters are assumed random and data are assumed to contain random errors. Distinction of this approach from “classical” machine learning is that optimal estimation deals with the probability density functions of random parameters and the “worst” probability density of random data errors. As the optimality criterion of estimation, randomized machine learning employs the generalized information entropy maximized on a set described by the system of empirical balances.  apply this approach to text classification and dynamic regression problems. The results illustrate capabilities of the approach.
['Yu. S. Popkov', 'Yu. A. Dubnov', 'A. Yu. Popkov']
I am writing a research paper on a idea Randomized machine learning: Statement, solution, applications
[{"from": "human", "value": "I am writing a research paper on a idea Randomized machine learning: Statement, solution, applications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   propose a new machine learning concept called randomized machine learning, in which model parameters are assumed random and data are assumed to contain random errors. Distinction of this approach from \u201cclassical\u201d machine learning is that optimal estimation deals with the probability density functions of random parameters and the \u201cworst\u201d probability density of random data errors. As the optimality criterion of estimation, randomized machine learning employs the generalized information entropy maximized on a set described by the system of empirical balances.  apply this approach to text classification and dynamic regression problems. The results illustrate capabilities of the approach."}]