Current explanation-based generalization (EBG) techniques can perform badly when the problem being solved involves recursion. Often an infinite series of learned concepts are gene...
ion Himanshu Jain1,2 , Franjo Ivanˇci´c1 , Aarti Gupta1 , and Malay K. Ganai1 1 NEC Laboratories America, Inc., 4 Independence Way, Princeton, NJ 08540 2 School of Computer Scien...
Himanshu Jain, Franjo Ivancic, Aarti Gupta, Malay ...
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
We study multiple predicate learning in an empirical setting. Problems with existing inductive logic programming approaches in this setting are sketched and an empirical ILP syste...
Programmers need mechanisms to store application specific data that persists multiple program runs. To accomplish this task, they usually have to deal with storage specific code...