In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
— This paper presents a tool, the Performance Model Manager, which addresses the complexity of the construction and management of a set of Functional Performance Models on a comp...
In an anonymous network processors have no distinct identifiers. For any class of anonymous networks, we characterize effectively the vector functions f : n → n which are compu...
In [11], Kalai investigated the probability of a rational outcome for a generalized social welfare function (GSWF) on three alternatives, when the individual preferences are unifo...
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...