We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
The ubiquitous computing vision is to make knowledge and services easily available in our everyday environments. A wide range of devices, applications and services can be intercon...
Early performance analysis based on Queueing Network Models (QNM) has been often proposed to support software designers during the software development process. These approaches a...
Program runtime characteristics exhibit significant variation. As microprocessor architectures become more complex, their efficiency depends on the capability of adapting with wor...
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...