Abstract--Embedded systems contain a wide variety of processors. Economical and technological factors favor systems made of a combination of diverse but programmable processors. So...
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
The fundamental relations that underlie cognitive comparisons--"same" and "different"--can be demultiple levels of abstraction, which vary in relational comple...