Metric learning has become a widespreadly used tool in machine learning. To reduce expensive costs brought in by increasing dimensionality, low-rank metric learning arises as it c...
Wei Liu, Cun Mu, Rongrong Ji, Shiqian Ma, John R. ...
Robots are increasingly becoming key players in human-robot teams. To become effective teammates, robots must possess profound understanding of an environment, be able to reason a...
Semantic Web documents that encode facts about entities on the Web have been growing rapidly in size and evolving over time. Creating summaries on lengthy Semantic Web documents f...
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit ...
This paper investigates stochastic planning problems with large factored state and action spaces. We show that even with moderate increase in the size of existing challenge proble...
Hao Cui, Roni Khardon, Alan Fern, Prasad Tadepalli
The logarithmic market scoring rule (LMSR), the most common automated market making rule for prediction markets, is typically studied in the framework of dealer markets, where the...
Reachability games are a useful formalism for the synthesis of reactive systems. Solving a reachability game involves (1) determining the winning player and (2) computing a winnin...
In this paper, we present an approach to forgetting in disjunctive logic programs, where forgetting an atom from a program amounts to a reduction in the signature of that program....
Name of an identity is strongly influenced by his/her cultural background such as gender and ethnicity, both vital attributes for user profiling, attribute-based retrieval, etc....