6 citations · 10 across the 6 of their papers we have counts for
6 papers
Lower Bounds on Cardinality of Reducts for Decision Tables from Closed Classes
Azimkhon Ostonov, Mikhail Moshkov
In this paper, we consider classes of decision tables closed under removal of attributes (columns) and changing of decisions attached to rows. For decision tables from closed class…
Comparison of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes
Azimkhon Ostonov, Mikhail Moshkov
In this paper, we consider classes of decision tables with many-valued decisions closed relative to removal of attributes (columns) and changing sets of decisions assigned to rows.…
Deterministic and Strongly Nondeterministic Decision Trees for Decision Tables from Closed Classes
Azimkhon Ostonov, Mikhail Moshkov
In this paper, we consider classes of decision tables with 0-1-decisions closed relative to removal of attributes (columns) and changing decisions assigned to rows. For tables from…
Comparative Analysis of Deterministic and Nondeterministic Decision Trees for Decision Tables from Closed Classes
Azimkhon Ostonov, Mikhail Moshkov
In this paper, we consider classes of decision tables with many-valued decisions closed under operations of removal of columns, changing of decisions, permutation of columns, and d…
Cut-and-Approximate: 3D Shape Reconstruction from Planar Cross-sections with Deep Reinforcement Learning
Azimkhon Ostonov
Current methods for 3D object reconstruction from a set of planar cross-sections still struggle to capture detailed topology or require a considerable number of cross-sections. In…
RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation
Azimkhon Ostonov, Peter Wonka, Dominik L. Michels
We present RLSS: a reinforcement learning algorithm for sequential scene generation. This is based on employing the proximal policy optimization (PPO) algorithm for generative prob…