نتایج جستجو برای: nhsbsp classification
تعداد نتایج: 492405 فیلتر نتایج به سال:
Abstract- Text classification is one of the main tasks of natural language processing (NLP). In this task, documents are classified into pre-defined categories. There is lots of news spreading on the web. A text classifier can categorize news automatically and this facilitates and accelerates access to the news. The first step in text classification is to represent documents in a suitable way t...
Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as face recognition applications, different images may be classified into the same class, and hen...
In this paper, a new hybrid methodology is introduced to design a cost-sensitive fuzzy rule-based classification system. A novel cost metric is proposed based on the combination of three different concepts: Entropy, Gini index and DKM criterion. In order to calculate the effective cost of patterns, a hybrid of fuzzy c-means clustering and particle swarm optimization algorithm is utilized. This ...
این تحقیق طی یک دوره یک ساله (1389) و در دو فصل، با هدف شناسایی، طبقه بندی و کددهی زیستگاه های ساحلی- دریایی خورموسی (یکی از مهم ترین خورهای خلیج فارس) انجام شد. منطقه مورد مطالعه از ناحیه آب فشان تا حداقل جزر را شامل گردید. مطالعه بر اساس طبقه بندی استاندارد اکولوژیک ساحلی- دریایی cmecs iii (coastal and marine ecological classification standard) و بر مبنای دو گروه از لایه های اطلاعاتی پوشش زیس...
از یک پروژه متن باز، به طور کلی چند گروه بهره می برند: مدیران پروژه، توسعه دهندگان، کاربران و حامیان مالی پروژه. در مواجه با یک پروژه جدید، موفقیت یا شکست آن، بر تصمیم های هر کدام از این گروه ها موثر خواهد بود. از این رو شناسایی زودهنگام موفقیت در پروژه متن باز می تواند تاثیر به سزایی در مدیریت و استراتژی های هر گروه بگذارد. در پژوهش پیش رو، ابتدا به شناسایی و جمع آوری داده های مربوط به 500 پرو...
In classification problems, we often encounter datasets with different percentage of patterns (i.e. classes with a high pattern percentage and classes with a low pattern percentage). These problems are called “classification Problems with imbalanced data-sets”. Fuzzy rule based classification systems are the most popular fuzzy modeling systems used in pattern classification problems. Rule weights...
In this paper, Automatic electrocardiogram (ECG) arrhythmias classification is essential to timely diagnosis of dangerous electromechanical behaviors and conditions of the heart. In this paper, a new method for ECG arrhythmias classification using wavelet transform (WT) and neural networks (NN) is proposed. Here, we have used a discrete wavelet transform (DWT) for processing ECG recordings, and...
in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...
conclusions the results suggested that pa skills in children with phonological disorders are affected by error type. we also found the type of errors that can play a more effective role in pa investigations as compared to pcc. the results also showed that children with cap require special attention. results the cap group showed significant difference with the nd group in alliteration (p = 0.001...
background: acute leukemias are characterized by neoplastic proliferation of hematopoietic stem cells and accumulation of blasts and immature cells in the bone marrow. we applied a selective panel of immunohistochemical markers on bone marrow trephine tissue sections and observed their utility in diagnosis and typing of acute leukemia. materials and methods: the study was done at psg institute ...
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