In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequenti...
Educational materials designed to teach users not to fall for phishing attacks are widely available but are often ignored by users. In this paper, we extend an embedded training m...
Ponnurangam Kumaraguru, Yong Rhee, Steve Sheng, Sh...
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
Abstract. Imaging applications such as filtering, image transforms and compression/decompression require vast amounts of computing power when applied to large data sets. These appl...
Benoit A. Gennart, Marc Mazzariol, Vincent Messerl...
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...