The data structures used in associated rule mining algorithms are represented in terms of
Sperner systems. This helps to minimize the required algorithmic resource and also makes …

Modelling a complex phenomenon such as the mind presents tremendous computational
complexity challenges. Modelling field theory (MFT) addresses these challenges in a non …

We study the problem of frequent itemset mining in domains where data is not recorded in a
conventional database but only exists in human knowledge. We provide examples of such …

This paper addresses the problem of completely reconstructing deterministic monotone
Boolean functions via membership queries. The minimum average query complexity is …

Одним из авторов статьи (ЛИ Перловским) разработан оригинальный подход к
моделированию мышления, основанный на теории нейронных моделирующих полей и …

Modeling of complex phenomena such as the mind presents tremendous computational
complexity challenges. The neural modeling fields theory (NMF) addresses these …

Building accurate and explainable/interpretable Machine Learning (ML) models for
heterogeneous/mixed data is a long-standing challenge for algorithms designed for numeric …

Volume 38-Supplement 23: Algorithms for Designing Multimedia Storage Servers to Models
and Architectures. Covering more than basic computer commands and procedures, this …

The problem of reconstructing the AND-OR expression of a positive Boolean function
starting from a portion of its truth table is solved by adopting a proper algorithm, called …

This paper introduces a number of reliability criteria for computer-aided diagnostic systems
for breast cancer. These criteria are then used to analyze some published neural network …