Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
The heuristics used for planning and search often take the pattern databases generated from abstracted versions of the given state space. Pattern databases are typically stored p ...
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyv...
Most of the efforts conducted on services nowadays are focusing on aspects related to data and control flow, often disregarding the main goal of the future Internet of services, na...