When dealing with large quantities of clauses, the use of persistent knowledge is inevitable, and indexing methods are essential to answer queries efficiently. We introduce PerKMan...
Dimitris G. Kapopoulos, Michael Hatzopoulos, Panag...
Graphplan and heuristic state space planners such as HSP-R and UNPOP are currently two of the most effective approaches for solving classical planning problems. These approaches h...
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
We consider how to use external memory, such as disk storage, to improve the scalability of heuristic search in statespace graphs. To limit the number of slow disk I/O operations,...
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...