نتایج جستجو برای: a learning machine based on statistical learning theory vapnik
تعداد نتایج: 16434315 فیلتر نتایج به سال:
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...
Abstract Background: Educational systems need to modify teaching methods in order to be effective. This research was conducted to study the effects of theory-practice and practice-theory methods of anatomy teaching on student learning and satisfaction. Methods: This quasi-experimental survey was carried out on second semester students of Lorestan University. During a 6-week period student...
Learning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank has been shown to be useful in many applications of information retrieval, natural language processing, and data mining. Learning to rank can be described by two systems: a learning system and a ranking system. The learning system takes training data as input and constructs a ranking ...
the following question poped up: is there any relationship between iranian high school efl learners reading comprehension and listening comprehension? then the following null hypothesis (ho) was developed to the test the above, mentioned question. "there is no relationship between high school efl learners reading comprehension and listening comprehension. for nearly 16 weeks, the experimental g...
newell's learning stages model is a learning model based on dynamic systems theory which is divided to three stages based on the relationship among learners' degree of freedom. the aim of this study was to investigate the effect of attention focus of instruction on learning a simple skill (throwing darts) and a complex skill (non-dominant foot chip shot). thestudyconsistedoftwoexperim...
today, a correct understanding and skills necessary to reform affairs as well as a culture based on knowledge and continuous learning in the organizations are important elements in the management of sports organizations. so the present study aimed to investigate the relationship between triple management skills (conceptual, humanistic, technical) and organizational learning in managers of physi...
We narrow the width of the confidence interval introduced by Vapnik and Chervonenkis for the risk function in PAC learning boolean functions through non-consistent hypotheses. To obtain this improvement for a large class of learning algorithms we introduce both a theoretical framework for statistical inference of functions and a concept class complexity index, the detail, that is dual to the Va...
To prevent process interruption and eventual losses, the need for a reliable fault detection and diagnosis system (FDD) is completely acknowledged. Besides the capability to recognize known faults automatically, a further requirement for a FDD is adaptability. If the model cannot be adapted to deal with changes, variations due to external changes, decaying performance, Poisoning of catalyst etc...
The goal of statistical learning theory is to study, in a statistical framework, the properties of learning algorithms. In particular, most results take the form of so-called error bounds. This tutorial introduces the techniques that are used to obtain such results.
We investigate Newton-type optimization methods for solving piecewise linear systems (PLSs) with nondegenerate coefficient matrix. Such systems arise, for example, from the numerical solution of linear complementarity problem, which is useful to model several learning and optimization problems. In this letter, we propose an effective damped Newton method, PLS-DN, to find the exact (up to machin...
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