Exploring Natural Language Processing Methods for Finno-Ugric Langages

Whereas traditional gradient-based methods may be effective for solving small-scale learning problems in which a batch approach may be used, in the context of large-scale

The novelty lies in the development of network traffic analysis algorithms based on a neural network, differing in the method of selection, generation and selection of features,

In this paper, the authors proposed the architecture of a probabilistic neural network (PNN) as a solution for the same problem that was formulated in [16]. Adeli and

The purpose of the study is to develop an intelligent recognition system for mathe- matical expressions based on machine learning, where character classification and

Ivashchenko M.V.: Analiz metodov avtomatizirovannogo vydeleniya klyuchevyh slov iz tekstov na estestvennom yazyke [Analysis of methods for automated ex- traction of keywords from

Key Words: Planetary hyperspectral images, Mars surface, regularized sliced inversion regression, support vector machines regression, kernel least-squares.. AMS Subject

Data Supervised selection Training Test Model Filtered data Score Data Supervised selection Training Test Model Filtered training data Score Filtered test data

Methods for safety assurance suggested by the ISO 26262 automotive functional safety standard are not sufficient for applications based on machine learning (ML).. We provide