Inductive Logic Programming (ILP) and Relational Data Mining (RDM) address the task of inducing models or patterns from multi-relational data. One of the established approaches to RDM is propositionalization, characterized by transforming a relational database into a single-table representation. This paper presents a propositionalization technique called wordification which can be seen as a tra...

In this paper, we propose a new stereo matching algorithm using an iterated graph cuts and mean shift filtering technique. Our algorithm consists of following two steps. In the first step, given an estimated sparse RDM (Reliable Disparity Map), we obtain an updated dense disparity map through a new constrained energy minimization framework that can cope with occlusion. The graph cuts technique ...

BACKGROUND Many cancer interventional clinical trials are not completed because the required number of eligible patients are not enrolled. OBJECTIVE To assess the value of using a research data mart (RDM) during the design of cancer clinical trials as a predictor of potential patient accrual, so that less trials fail to meet enrollment requirements. MATERIALS AND METHODS The eligibility cri...

هدف: پژوهش حاضر با هدف تعیین نقش تعاملی خود­شفقت ­ورزی زوجین در تنظیم شناختی هیجان خود و همسر به روش مدل­سازی وابستگی متقابل عامل-شریک انجام شد. روش: از نوع توصیفی_همبستگی مدل­ یابی معادلات ساختاری بود. جامعه آماری شامل کلیه ساکن شهر تهران سال 1399 بود که بین آن‌ها 167 زوج (334 شرکت ­کننده) نمونه­ گیری دردسترس ­عنوان نمونه انتخاب برای گرداوری داده­ ها پرسشنامه راهبردهای تنظیم­ هیجان_فرم کوتاه گ...

Jonathan St. B. T. Evans, in his engaging article “Rationality and the illusion of choice” (Evans, 2014) argues that erroneous answers to questions posed in the study of reasoning and decision-making (RDM) ought not be viewed as irrational, just as errors in other cognitive domains are not viewed as irrational. He attributes misuse of the term partly to use of normative models borrowed from eco...