Non-Written Enrolment System using Classification Methods
نویسندگان
چکیده
منابع مشابه
Integrating Binding Site Predictions Using Non-linear Classification Methods
Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. There is good reason to believe that predictions from these different classes of algorithms could be used in conjunction to improve the quality of predictions. In this paper, we apply single layer networks, rules sets and support vector machines on predictions from 12 key algorithms....
متن کاملMHSubLex: Using Metaheuristic Methods for Subjectivity Classification of Microblogs
In Web 2.0, people are free to share their experiences, views, and opinions. One of the problems that arises in web 2.0 is the sentiment analysis of texts produced by users in outlets such as Twitter. One of main the tasks of sentiment analysis is subjectivity classification. Our aim is to classify the subjectivity of Tweets. To this end, we create subjectivity lexicons in which the words into ...
متن کاملChecking System Rules Using System - Speci c , Programmer - Written Compiler
Systems software such as OS kernels, embedded systems , and libraries must obey many rules for both correctness and performance. Common examples include \accesses to variable A must be guarded by lock B," \system calls must check user pointers for validity before using them," and \message handlers should free their buuers as quickly as possible to allow greater parallelism." Unfortunately, adhe...
متن کاملObjective methods for non-invasive back classification
Materials and methods The formetric measurement system reconstructs human back surfaces in semi-real time. From the acquiesced 3D data a set of objective parameters can be calculated in an automatic way: We present some of the newest parameters for detection and classification of scoliosis and other severe back deformities: Symmetry and torsion of pelvis, waist, scapula and shoulders in relatio...
متن کاملAdapting non-hierarchical multilabel classification methods for hierarchical multilabel classification
In most classification problems, a classifier assigns a single class to each instance and the classes form a flat (non-hierarchical) structure, without superclasses or subclasses. In hierarchical multilabel classification problems, the classes are hierarchically structured, with superclasses and subclasses, and instances can be simultaneously assigned to two or more classes at the same hierarch...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2019
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1175/1/012055