— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Abstract— Tomorrow’s humanoids will operate in human environments, where efficient manipulation and locomotion skills, and safe contact interactions will be critical design fa...
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
The Palette is a digital appliance designed for intuitive control of electronic slide shows. Current interfaces demand too much of our attention to permit effective computer use i...
We investigate a mixed economy of an individual rational expert and several na¨ıve near-sighted agents in the context of security decision making. Agents select between three ca...
Jens Grossklags, Benjamin Johnson, Nicolas Christi...