Considering that functional magnetic resonance imaging (fMRI) signals from multiple subjects (MS) can be represented together as a sum of common and distinct rank-1 matrices, new MS dictionary learning (DL) algorithm named sparse group (common + distinct) bases (sgBACES) is proposed. Unlike existing MS-DL algorithms ignore fMRI data’s prior information, it formulated penalized plus const...

Issues related to the representation of data asssociated with terms are considered with specific reference to two knowledge representation formalisms, frames and semantic networks. Introduction Techniques developed by researchers and professional software engineers for building knowledge-based expert systems, natural language processing systems, image understanding systems and planning systems ...

As part of a larger project, one of our goals is to enable users, not trained in AI, to be able to pose questions to an inference-capable knowledge base (KB), and receive acceptable answers. In particular, we wish the system to support answering a wide variety of questions, including longer questions which may include scenario descriptions, without requiring users to formulate their queries in ...