Catastrophic forgetting (CF) refers to the sudden and severe loss of prior information in
learning systems when acquiring new information. CF has been an Achilles heel of standard …

In the print and online PDF versions of the article, references [15–49] were unfortunately
missing due to a production error during late stages of article preparation. The references …

During the last decade, a significant research progress has been drawn in both the
theoretical aspects and the applications of Deep Learning Neural Networks. Besides their …

In the recent years Deep Learning has attracted a lot of attention due to its success in difficult
tasks such as image recognition and computer vision. Most of the success in these tasks is …

Dendrite morphological neurons are a type of artificial neural network that works with min
and max operators instead of algebraic products. These morphological operators build …

Abstract The Oncotype DX (ODX) breast cancer assay is the worldwide most common and
used Gene Expression Profiling (GEP) test. This ODX assay has a great impact on Adjuvant …

This thesis takes an empirical approach to understanding of the behavior and interactions
between the two main components of reinforcement learning: the learning algorithm and the …

Competitive majority network trained by error correction (C-Mantec), a recently proposed
constructive neural network algorithm that generates very compact architectures with good …

In this work we present a constructive algorithm capable of producing arbitrarily connected
feedforward neural network architectures for classification problems. Architecture and …

The mapping capability of artificial neural networks (ANN) is dependent on their structure, ie,
the number of layers and the number of hidden units. There is no formal way of computing …