16 citations · 47 across the 13 of their papers we have counts for
6 papers · 1 filter
On Machine Learning Knowledge Representation In The Form Of Partially Unitary Operator. Knowledge Generalizing Operator
Vladislav Gennadievich Malyshkin
A new form of ML knowledge representation with high generalization power is developed and implemented numerically. Initial attributes and class label a…
On The Radon-Nikodym Spectral Approach With Optimal Clustering
Vladislav Gennadievich Malyshkin
Problems of interpolation, classification, and clustering are considered. In the tenets of Radon--Nikodym approach , where the…
Norm-Free Radon-Nikodym Approach to Machine Learning
Vladislav Gennadievich Malyshkin
For Machine Learning (ML) classification problem, where a vector of --observations (values of attributes) is mapped to a single value (class label), a generalized R…
Multiple-Instance Learning: Radon-Nikodym Approach to Distribution Regression Problem
Vladislav Gennadievich Malyshkin
For distribution regression problem, where a bag of --observations is mapped to a single value, a one--step solution is proposed. The problem of random distribution to rando…
Multiple--Instance Learning: Christoffel Function Approach to Distribution Regression Problem
Vladislav Gennadievich Malyshkin
A two--step Christoffel function based solution is proposed to distribution regression problem. On the first step, to model distribution of observations inside a bag, build Christo…
A Massive Local Rules Search Approach to the Classification Problem
Vladislav Malyshkin, Ray Bakhramov, Andrey Gorodetsky
An approach to the classification problem of machine learning, based on building local classification rules, is developed. The local rules are considered as projections of the glob…