نتایج جستجو برای: classification committee
تعداد نتایج: 541722 فیلتر نتایج به سال:
s are printed as submitted by the authors.
Classification systems are necessary in order to provide a framework in which to scientifically study the etiology, pathogenesis, and treatment of diseases in an orderly fashion. In addition, such systems give clinicians a way to organize the health care needs of their patients. The last time scientists and clinicians in the field of periodontology and related areas agreed upon a classification...
The American Association on Intellectual and Developmental Disabilities’ (AAIDD) Terminology and Classification Committee has two primary purposes in publishing this Perspective: (a) to share our thinking about the construct underlying the term intellectual disability (henceforth the intellectual disability construct) and its relation to human functioning and (b) to ask for input from the field...
The demand for wireless services has increased rapidly in the past years and this trend is expected to continue faster in the future. So far most of the available spectrum resources have already been licensed and there is not much bandwidth left to set up new services [Farhang-Boroujeni et al. 2008]. On the other hand, studies reveal that a large percent of licensed spectra is rarely used. The ...
In many data mining applications we are given a set of training examples and asked to construct a regression machine or a classifier that has low prediction error or low error rate on new examples. An important issue is speed especially when there are large amounts of data. We show how both classification accuracy and prediction error can be reduced by using boosting techniques to implement com...
Deep convolutional neural networks are known to give good results on image classification tasks. In this paper we present a method to improve the classification result by combining multiple such networks in a committee. We adopt the STL-10 dataset which has very few training examples and show that our method can achieve results that are better than the state of the art. The networks are trained...
In this paper the classification of pulse compression radar waveforms using features extracted from the Choi-Williams time-frequency distribution is studied. In addition, a feature based on the symmetry properties of polyphase waveforms is introduced. The pulse compression waveforms examined are the Frank, P1, P2, P3, and P4 codes. The discrimination capability of the features is evaluated usin...
This paper is concerned with an approach to automated analysis of vocal fold images aiming to categorize laryngeal diseases. Colour, texture, and geometrical features are used to extract relevant information. A committee of support vector machines is then employed for performing the categorization of vocal fold images into healthy, diffuse, and nodular classes. The discrimination power of both,...
We address the task of sentiment classification identification of the polarity of the subjective document in this paper. We introduces a sentiment classification method called AS LDA. In this model, we assume that words in subjective documents consists of two parts: sentiment element words and auxiliary words which are sampled accordingly from sentiment topics and auxiliary topics. Sentiment el...
This paper concerns supervised classification of text. Rocchio, the method we choose for its efficiency and extensibility, is tested on three reference corpora "20NewsGroups", "OHSUMED" and "Reuters", using several similarity measures. Analyzing statistical results, many limitations are identified and discussed. In order to overcome these limitations, this paper presents two main solutions: fir...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید