Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
— In this paper we present an automated support for software model evolution using a formal language constructs. For this, we extended Object Constraint Language (OCL) with actio...
In this paper, we will introduce to describe learning resources by using ontology model based on metadata of learning standard as Sharable Content Object Reference Model (SCORM) a...
How to assign appropriate weights to terms is one of the critical issues in information retrieval. Many term weighting schemes are unsupervised. They are either based on the empir...
Abstract. Child language acquisition, one of Nature’s most fascinating phenomena, is to a large extent still a puzzle. Experimental evidence seems to support the view that early ...