— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
This work targets the emerging use of software component technology for high-performance scientific parallel and distributed computing. While component software engineering will ...
Sameer Shende, Allen D. Malony, Craig Edward Rasmu...
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
One of the most challenging tasks for the database administrator is to physically design the database to attain optimal performance for a given workload. Physical design is hard b...
Cristina Maier, Debabrata Dash, Ioannis Alagiannis...