Empirical experiments have shown that storing every case does not automatically improve the accuracy of a CBR system. Therefore, several retain policies have been proposed in order to select which cases to retain. However, all the research done in case retention strategies is done in centralized CBR systems. We focus on multiagent CBR systems, where each agent has a local case base, and where e...

Experimentation is an essential ingredient to sustain learning activities in engineering education. Nowadays many academic institutions are making great efforts to provide their students with standalone applications for Web-based simulation or remote manipulation of laboratory equipment. However, these resources are not really effective if deployed as such, without additional components which c...

Abs t r ac t . VS-CBR [14] is a simple instance-based learning algorithm that adjusts a weighted similarity measure as well as collecting cases. This paper presents a 'PAC' analysis of VS-CBR, motivated by the PAC learning framework, which demonstrates two main ideas relevant to the study of instance-based learners. Firstly, the hypothesis spaces of a learner on different target concepts can be...

in instance-based learning, a training set is given to a classifier for classifying new instances. in practice, not all information in the training set is useful for classifiers. therefore, it is convenient to discard irrelevant instances from the training set. this process is known as instance reduction, which is an important task for classifiers since through this process the time for classif...

background: despite the implementation of new training programs, neglecting individual differences in terms of learning styles can be taken into account as one of the reasons for poor levels of self-care behaviors in patients suffering from diabetes. aim: the purpose of the present study was to examine the effect of training according to the learning styles on self-care behaviors among individu...

For robots to be truly exible they need to be able to learn to adapt to partially known or dynamic environments to teach themselves new tasks and to compensate for sensor and e ector defects The problem of robot learning has been an intensively stud ied research topic over the last decade In this paper we critically examine four major formulations of the robot learning problem inductive concept...

Background & aim: Accurate history-taking from sexual assault victims is the basis of correct diagnosis and treatment. Considering the serious consequences of sexual assault and the necessity of students’ training through active educational methods, this study was conducted to compare the effect of standardized patient-based training and team-based learning on the midw...

background:     purpose:     methods:     results:     conclusion:     key words:     pbl, lecture based method, education, frequent quizzes the variables such as changing the way of learning, using different methods in teaching, showing scientific films in class or, as a whole, active learning have significant effects on the results of final examination. the results showed that by changing the...