Computational modeling of human belief maintenance and decision-making processes has become increasingly important for a wide range of applications. We present a framework for mod...
Jonathan Y. Ito, David V. Pynadath, Stacy C. Marse...
We deal with an image jigsaw puzzle problem, which is defined as reconstructing an image from a set of square and non-overlapping image patches. It is known that a general instan...
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
Filtering denotes any method whereby an agent updates its belief state--its knowledge of the state of the world--from a sequence of actions and observations. In logical filtering,...