نتایج جستجو برای: a learning machine based on statistical learning theory vapnik
تعداد نتایج: 16434315 فیلتر نتایج به سال:
the aim of the current study was to investigate the relationship among efl learners learning style preferences, use of language learning strategies, and autonomy. a total of 148 male and female learners, between the ages of 18 and 30, majoring in english literature and english translation at islamic azad university, central tehran were randomly selected. a package of three questionnaires was ad...
for any educational program to be successful, many factors work hand in hand. based on pervious efl studies, teachers and learners are the keys to gain achievement. granted the fact that explicit and implicit practice plays a key role in education, knowledge of it can help teachers facilitate students’ vocabulary learning. this study investigated to determine the contribution of explicit and i...
NOTE: A good introduction to various machine learning models. NOTE: The theory is explained here with all the equations. [4] Vladimir N. Vapnik. The nature of statistical learning theory. Springer, second edition, 1995. NOTE: A good introduction to the theory, not much equations. NOTE: Very good paper proposing a series of tricks to make neural networks really working.
due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...
learning a second or foreign language requires the manipulation of four main skills, namely, listening, reading, speaking, and writing which lead to effective communication. it is obvious that vocabulary is an indispensible part of any communication, so without a vocabulary, no meaningful communication can take place and meaningful communication relies heavily on vocabulary. one fundamental fac...
this research study aimed to investigate the relationship between field-dependence/independence cognitive style and vocabulary learning strategies among iranian efl learners. ninety participants majoring in english translation at arak university were chosen. the participants were classified into two groups of field-dependent and independent based on the results of group embedded figure test (ge...
in this thesis, a structured hierarchical methodology based on petri nets is used to introduce a task model for a soccer goalkeeper robot. in real or robot soccer, goalkeeper is an important element which has a key role and challenging features in the game. goalkeeper aims at defending goal from scoring goals by opponent team, actually to prevent the goal from the opponent player’s attacks. thi...
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Networks for financial forecasting applications. The theory of the SVM algorithm is based on statistical learning theory. Training of SVMs leads to a quadratic programming (QP) problem. Preliminary computational results f...
Kernel-based techniques (such as support vector machines, Bayes point machines, kernel principal component analysis, and Gaussian processes) represent a major development in machine learning algorithms. Support vector machines (SVM) are a group of supervised learning methods that can be applied to classification or regression. In a short period of time, SVM found numerous applications in chemis...
The theory of support vector machines (SVM), has its origins in the late seventies, in the work of Vapnik [16] on the theory of statistical learning. Lately it has been receiving increasing attention, and many applications as well as important theoretical results are based on this theory. In fact, Support Vector Machines are arguably the most important discovery in the area of machine learning....
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