We present a simple linear programming (LP) based method to learn compact and interpretable sets of rules encoding the facts in knowledge graph (KG) use these solve KG completion problem. Our LP model chooses set bounded complexity from list candidate first-order logic assigns weights them. The bound is enforced via explicit constraints. combine rule generation heuristics with our selection obt...

Academic advising is a time-consuming activity that takes considerable effort in guiding students to improve student performance. Traditional systems depend greatly on the of advisor find best selection courses performance next semester. There need know associations and patterns among course registration. Finding can guide direct selecting appropriate leads improvement. In this paper, authors p...

Neural networks are well-known for their impressive classification performance, and the ensemble learning technique acts as a catalyst to improve this performance even further by integrating multiple networks. However, neural network ensembles, like networks, regarded black box because they cannot explain decision-making process. As result, despite high ensembles unsuitable some applications th...