43 citations · 229 across the 23 of their papers we have counts for
5 papers · 1 filter
Neural Networks Compression for Language Modeling
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko
In this paper, we consider several compression techniques for the language modeling problem based on recurrent neural networks (RNNs). It is known that conventional RNNs, e.g, LSTM…
Introduction to Formal Concept Analysis and Its Applications in Information Retrieval and Related Fields
Dmitry I. Ignatov
This paper is a tutorial on Formal Concept Analysis (FCA) and its applications. FCA is an applied branch of Lattice Theory, a mathematical discipline which enables formalisation of…
Multimodal Clustering for Community Detection
Dmitry I. Ignatov, Alexander Semenov, Daria Komissarova +1
Multimodal clustering is an unsupervised technique for mining interesting patterns in -adic binary relations or -mode networks. Among different types of such generalized patt…
Towards a Unified Taxonomy of Biclustering Methods
Dmitry I. Ignatov, Bruce W. Watson
Being an unsupervised machine learning and data mining technique, biclustering and its multimodal extensions are becoming popular tools for analysing object-attribute data in diffe…
Bayesian Learning of Consumer Preferences for Residential Demand Response
Mikhail V. Goubko, Sergey O. Kuznetsov, Alexey A. Neznanov +1
In coming years residential consumers will face real-time electricity tariffs with energy prices varying day to day, and effective energy saving will require automation - a recomme…