Learning Relations by Bathfinding
نویسنده
چکیده
First-order learning systems (e.g., FOlL, FOCL, FORTE) generally rely on hill-climbing heuristics in order to avoid the combinatorial explosion inherent in learning first-order concepts. However, hill-climbing leaves these systems vulnerable to local maxima and local plateaus. We present a method, called relational pathfinding, which has proven highly effective in escaping local maxima and crossing local plateaus. We present our algorithm and provide learning results in two domains: family relationships and qualitative model building.
منابع مشابه
The Investigation on the Relations between Epistemological Beliefs and Self-Regulating Learning Strategies among Students in North Khorasan University of Medical Sciences in 2017
Introduction: Poor epistemological beliefs are among the reasons which will lead a person to tiredness, lack of motivation and distrust to personal abilities. This is usually resulted from the fact that individuals with such beliefs image the knowledge as unrelated and confusing elements which surrounded by references and they will never try for learning it. In the recent years, there are high ...
متن کاملThe machine learning process in applying spatial relations of residential plans based on samples and adjacency matrix
The current world is moving towards the development of hardware or software presence of artificial intelligence in all fields of human work, and architecture is no exception. Now this research seeks to present a theoretical and practical model of intuitive design intelligence that shows the problem of learning layout and spatial relationships to artificial intelligence algorithms; Therefore, th...
متن کاملطراحی سامانه نیمهخودکار ساخت هستیشناسی بهکمک تحلیل همرخدادی واژگان و روش C-value (مطالعه موردی: حوزه علمسنجی ایران)
Ontology is one of formal concepts and the relations in the specific regions.It have recently tried to design the learning, automatic methods of Ontology. Whereas Ontology containing concepts and the relations, exploiting concepts, the semantic relations among concept. The various Ontology of regions and different applications are expensive processes that are automatic.The lack of main knowledg...
متن کاملRelational Databases Query Optimization using Hybrid Evolutionary Algorithm
Optimizing the database queries is one of hard research problems. Exhaustive search techniques like dynamic programming is suitable for queries with a few relations, but by increasing the number of relations in query, much use of memory and processing is needed, and the use of these methods is not suitable, so we have to use random and evolutionary methods. The use of evolutionary methods, beca...
متن کاملConcept drift detection in business process logs using deep learning
Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...
متن کامل