Appears in Machine Learning : Proceedings of the Eleventh International Conference

Proceedings of the 6th International Conference on Science and Social Research (CSSR)(Malaysia)

Proceedings of the First MEFOMP International Conference of Medical Physics: November 2-4, 2011, Shiraz, Iran

A Comparative Study of English-Persian Translation of Neural Google Translation

Many studies abroad have focused on neural machine translation and almost all concluded that this method was much closer to humanistic translation than machine translation. Therefore, this paper aimed at investigating whether neural machine translation was more acceptable in English-Persian translation in comparison with machine translation. Hence, two types of text were chosen to be translated...

Layered Learning

This paper presents layered learning, a hierarchical machine learning paradigm. Layered learning applies to tasks for which learning a direct mapping from inputs to outputs is intractable with existing learning algorithms. Given a hierarchical task decomposition into subtasks, layered learning seamlessly integrates separate learning at each subtask layer. The learning of each subtask directly f...

Appears in Proceedings of the Eleventh International Workshop on Machine Learning pp . 343 - 351 ,

This paper describes a new method for inducing logic programs from examples which attempts to integrate the best aspects of existing ILP methods into a single coherent framework. In particular, it combines a bottom-up method similar to Golem with a top-down method similar to Foil. It also includes a method for predicate invention similar to Champ and an elegant solution to the \noisy oracle" pr...