Minimum description length (MDL) principle is one of the wellknown solutions for overlearning problem, specifically for artificial neural networks (ANNs). Its extension is called representational MDL (RMDL) principle and takes into account that models in machine learning are always constructed within some representation. In this paper, the optimization of ANNs formalisms as information represen...

Course recommendation is a key for achievement in student’s academic path. However, it challenging to appropriately select course content among numerous online education resources, due the differences users’ knowledge structures. Therefore, this paper develops novel sentiment classification approach recommending courses using Taylor-chimp Optimization Algorithm enabled Random Multimodal Deep Le...

Solomonoff induction is known to be universal, but incomputable. Its approximations, namely, the Minimum Description (or Message) Length (MDL) principles, are adopted in practice in the efficient, but non-universal form. Recent attempts to bridge this gap leaded to development of the Representational MDL principle that originates from formal decomposition of the task of induction. In this paper...

Humanity is battling one of the most deleterious virus in modern history, COVID-19 pandemic, but along with pandemic there’s an infodemic permeating pupil and society misinformation which exacerbates current malady. We try to detect classify fake news on online media information relating coronavirus. The dataset contained posts, articles gathered from fact checking websites like politifact wher...

ئارمانجا ڤەكولینێ  كاریگەرییا بكارهینانا مۆدڵێن ( GAGNE و KLAUSMEIER ) د گوتنا بابەتێ ڕێزمانا زمانێ كوردیدا بۆ قوتابیێن پولا حەفتێ بنەرەتی ل سەر وەرگرتنا تێگەھان.  ڤەكولەرێ پشتبەستن دیزاینا ئەزموونگەری یاگروپێ هەڤسەنك كر، كو دوو گرۆپێن وگروپەكێ كۆنترولكار ب خوڤەدگریت، گرۆپێ ئەزموونگەرییا ئێكێ كوردی دویڤ ڕێكا مۆدڵا (GAGNE) وەردگرت، دووێ (KLAUSMEIER) وەردگرت وگروپێ كۆنترولكار، هەمان باب...