نتایج جستجو برای: a learning machine based on statistical learning theory vapnik
تعداد نتایج: 16434315 فیلتر نتایج به سال:
the present study was an attempt to determine the types of motivation and levels of foreign language learning anxiety among efl students studying at azad and state universities in kermanshah and to determine the relationship between these two factors and language proficiency and gender. to this end, the foreign language learning motivation scale, by deci and ryan )1985(, were administered to 12...
The Vapnik-Chervonenkis (VC) dimension plays an important role in statistical learning theory. In this paper, we propose the discretized VC dimension obtained by discretizing the range of a real function class. Then, we point out that Sauer’s Lemma is valid for the discretized VC dimension. We group the real function classes having the infinite VC dimension into four categories by using the dis...
this study investigated the potential role of age in inductive and deductive grammar learning among iranian foreign language learners. the experimental population consisted of our randomly selected samples including two groups of children (with age of exposure to english within 8-13), and two groups of adults (with age of exposure to english within 11-13). thus, the comparison was between ch...
this study was conducted to investigate the effect of favorite-text on iranian intermediate efl learners’ vocabulary development. sixty learners from nour-al-mahdi english institute participated in the present study. having been homogenized by oxford placement test (opt), they were randomly assigned into two groups of 30, control and experimental. then both groups sat for a pre-test which was a...
the present study sought to examine whether a task-based approach could have an impact on raising awareness of collocations. moreover, it sought to investigate the facilitative role of consciousness-raising tasks of collocations in the communicative instances of use. to this end, 68 intermediate learners of english were selected via a placement test. the participants were taught with classroom ...
the methods which are used to analyze microstrip antennas, are divited into three categories: empirical methods, semi-empirical methods and full-wave analysis. empirical and semi-empirical methods are generally based on some fundamental simplifying assumptions about quality of surface current distribution and substrate thickness. thses simplificatioms cause low accuracy in field evaluation. ful...
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest is the sample complexity: the number of samples required to learn to a specified level of accuracy. Here we consider learning over the set of all computable labeling functions. Since the VC-dimension is infinite and a ...
abstract biometric access control is an automatic system that intelligently provides the access of special actions to predefined individuals. it may use one or more unique features of humans, like fingerprint, iris, gesture, 2d and 3d face images. 2d face image is one of the important features with useful and reliable information for recognition of individuals and systems based on this ...
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
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