In the web context, it is difļ¬cult to disentangle presentation from process logic, and sometimes even data is not separate from the presentation. Consequently, it becomes to deļ...
Learning agents, whether natural or artiļ¬cial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Most work on language acquisition treats word segmentation--the identification of linguistic segments from continuous speech-and word learning--the mapping of those segments to me...
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...