We consider the task of unsupervised extraction of meaningful latent representations of
speech by applying autoencoding neural networks to speech waveforms. The goal is to …

Computational creativity composes a collection of activities that are capable of achieving or
simulating behaviors, which can be deemed creative. A frequently articulated criticism for …

Incremental learning has become a new research hotspot in the field of machine learning.
Compared with traditional machine learning, incremental learning can continuously learn …

In open-world learning, an agent starts with a set of known classes, detects, and manages
things that it does not know, and learns them over time from a non-stationary stream of data …

To address the modeling of continuous production process with dynamic and nonlinear
characteristics, an on-line Wang-Mendel fuzzy inference model is proposed in this paper …

Open-world learning is a problem where an autonomous agent detects things that it does
not know and learns them over time from a non-stationary and never-ending stream of data; …

The IoT-enabled smart grid system provides smart meter data for electricity consumers to
record their energy consumption behaviors, the typical features of which can be represented …

The dilemma between stability and plasticity is crucial in machine learning, especially when
non-stationary input distributions are considered. This issue can be addressed by continual …

Guided by the idea that musical human-computer interaction may become more effective,
intuitive, and creative when basing its computer part on cognitively more plausible learning …

ЦЕЛЬ. В данной работе рассматривается проблема автоматизации моделирования
сегментации речевых сигналов и вокальных исполнений. МЕТОДЫ. Специфика …