Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
The computation of the first complete approximations of game-theoretic optimal strategies for fullscale poker is addressed. Several abstraction techniques are combined to represe...
Darse Billings, Neil Burch, Aaron Davidson, Robert...
Due to high demand uncertainty, excess inventory has been a key issue in inventory control. Caterpillar developed the dealers' parts inventory sharing (DPIS) and returns prog...
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
The ODMG proposal has helped to focus the work on object-oriented databases (OODBs) onto a common object model and query language. Nevertheless there are several shortcomings of t...