Humans and animals have the ability to continually acquire, fine-tune, and transfer
knowledge and skills throughout their lifespan. This ability, referred to as lifelong learning, is …

Novelty detection is the task of classifying test data that differ in some respect from the data
that are available during training. This may be seen as “one-class classification”, in which a …

Reconfigurable devices offer the ability to program electronic circuits on demand. In this
work, we demonstrated on-demand creation of artificial neurons, synapses, and memory …

We survey unsupervised machine learning algorithms in the context of outlier detection. This
task challenges state-of-the-art methods from a variety of research fields to applications …

Recent applications of machine learning, in particular deep learning, motivate the need to
address the generalizability of the statistical inference approaches in physical sciences. In …

Traditional books on machine learning can be divided into two groups-those aimed at
advanced undergraduates or early postgraduates with reasonable mathematical knowledge …

This is the first book to take a truly comprehensive look at clustering. It begins with an
introduction to cluster analysis and goes on to explore: proximity measures; hierarchical …

Dopamine neurons are thought to encode novelty in addition to reward prediction error (the
discrepancy between actual and predicted values). In this study, we compared dopamine …

Electronic noses (e-noses) employ an array of chemical gas sensors and have been widely
used for the analysis of volatile organic compounds. Pattern recognition provides a higher …

Artificial autonomous agents and robots interacting in complex environments are required to
continually acquire and fine-tune knowledge over sustained periods of time. The ability to …