The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
— In this paper, we lay the groundwork for extending our previously developed ASyMTRe architecture to enable constructivist learning for multi-robot team tasks. The ASyMTRe archi...
The title ‘Playful Play with Games’ refers to the possibility of creative involvement with games by altering their structure in a playful way. The focus of this paper is on mo...
Interoperability is one of the main issues in creating a networked system of repositories The approaches range from simply forcing one metadata standard on all participating repos...
Marek Hatala, Griff Richards, Timmy Eap, Jordan Wi...
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...