Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
Context-Aware applications adapt their behaviour to the current situation of the user. This information, for instance user location and user availability, is called context informa...
This paper presents the principles of a Home Automation System dedicated to power management that adapts power consumption to available power ressources according to user comfort a...
Some Statistical Software Testing approaches rely on sampling the feasible paths in the control flow graph of the program; the difficulty comes from the tiny ratio of feasible p...
In many planning situations, a planner is required to return a diverse set of plans satisfying the same goals which will be used by the external systems collectively. We take a do...
Biplav Srivastava, Tuan A. Nguyen, Alfonso Gerevin...