Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
On-line partial evaluators are hardly ever selfapplicable, because the complexity of deciding whether to residualize terms causes combinatorial explosion when self-application is ...
While online service providers are sometimes accused of forwarding identifying customer information as name and address to untrusted third parties, comparatively little attention ...
Bandit convex optimization is a special case of online convex optimization with partial information. In this setting, a player attempts to minimize a sequence of adversarially gen...
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...