Machine learning for predicting user clicks in Webbased search offers automated explanation of user activity. We address click prediction in the Web search scenario by introducing...
Ding Zhou, Levent Bolelli, Jia Li, C. Lee Giles, H...
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
We show that for conditional planning with partial observability the existence problem of plans with success probability 1 is 2-EXP-complete. This result completes the complexity ...
In business marketing, corporations and institutions are interested in executing a sequence of marketing actions to affect a group of customers. For example, a financial instituti...
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...