Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
We investigate people’s attitudes towards the possible use of mobile negotiation support systems (NSS) in different social contexts and the consequences for their design. For tha...
We identify and address a fundamental general problem which we regard as crucial for the widespread, effective use of decision support systems (DSS) in the future: how can we subs...
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
: The availability of applications able to exploit multi-device environments is steadily increasing. Rather than using all devices in the same way, users tend to assign different r...