Ohjelmistoautomaation tärkeys kasvaa koko ajan yhteiskunnassamme. Tietojärjestelmät ovat kehittyneet ja niissä liikkuvan datan määrä vain kasvaa. Kasvavan datan määrän vuoksi, …
A classification system typically consists of both a feature extractor (preprocessor) and a classifier. These two components can be trained either independently or simultaneously. The …
TIIVISTELMÄ Toimintatapojen muuttaminen ketterämmiksi vaikuttaa olevan työelämässä vallitseva tuore trendi, jolla pyritään tehokkaaseen ja nopeasti muutoksiin reagoivaan …
This work provides a Deep Reinforcement Learning approach to solving a periodic review inventory control system with stochastic vendor lead times, lost sales, correlated demand, and …
Bell and Sejnowski (see Neural Computation, vol.7, no.6, p.1004-34, 1995) have presented an approach to blind source separation based on the information maximization principle. We …
The novel coronavirus pandemic (COVID-19) has had far-reaching effects on public health around the world. Attempts to prevent the spread of the disease by quarantine have led to …
We present feature transformations useful for exploratory data analysis or for pattern recognition. Transformations are learned from example data sets by maximizing the mutual …
Recently many new Blind Signal Separation BSS algorithms have been introduced Authors evaluate the performance of their algorithms in various ways Among these are speech …
In this article, we raise some methodological questions regarding the study of journalism and gender. We start with the idea that in many studies, researchers tend to think that the …
This paper is an overview of the program package LVQ PAK, which has been developed for convenient and e ective application of Learning Vector Quantization algorithms. Two new …