We describe a new method for pruning in dynamic models based on running an adaptive filtering algorithm online during decoding to predict aspects of the scores in the near future....
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 this paper the sequential prediction problem with expert advice is considered for the case where losses of experts suffered at each step cannot be bounded in advance. We presen...
Writing a dissertation is a critical aspect of the learning experience for most university students in all disciplines. It is often accompanied by anxiety and uncertainty, which su...
Sirisha Bajanki, Kathrin Kaufhold, Alex Le Bek, Va...
We present the SketchMap system, which integrates outdoor and classroom activities to support children's collaborative learning. Individual children create maps near their sc...