When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
Everybody agrees that curing DFM/DFY issues is of paramount importance at 65 nanometers and beyond. Unfortunately, there is disagreement about how and when to cure them. “Surgeo...
Marco Casale-Rossi, Andrzej J. Strojwas, Robert C....
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Complexity of near future and even nowadays applications is exponentially increasing. In order to tackle the design of such complex systems, being able to engineer self-organising ...
: We here report on a study exploring the use of augmented books for early literacy education. Children aged 6-7 interacted alone and in pairs with an AR-book. The study was iterat...