Many Web sources provide forms to allow users to query their hidden data. For instance, online stores such as Amazon.com have search interfaces, using which users can query informa...
We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time t...
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
Pascal Poupart, Nikos A. Vlassis, Jesse Hoey, Kevi...
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
In Nearest Rectangle (NR) learning, training instances are generalized into hyperrectangles and a query is classified according to the class of its nearest rectangle. The method ha...