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To try to decrease the preference of the attribute values for information gain and information gain ratio, in the paper, the authors puts forward a improved algorithm of C4.5 decision tree on the selection classification attribute. The basic thought of the algorithm is as follows: Firstly, computing the information gain of selection classification attribute, and then get an attribute of the information...
Discusses the concept of quality of education, highlights the criteria and indicators of assessing its quality in the framework of theoretical and methodological research. Highlights the main requirements to level of preparation of graduates.
Virtual Reality applications for integrated cognitive and motor stroke rehabilitation show promise for providing more comprehensive rehabilitation programs. However, we are still missing evidence on its impact in comparison with standard rehabilitation, particularly in patients with cognitive impairment. Additionally, little is known on how specific stimuli in the virtual environment affect task performance...
The paper presented a systematic evaluation of the weight sparsity regularization schemes for the deep neural networks applied to the whole brain resting-state functional magnetic resonance imaging data. The weight sparsity regularization was deployed between the visible and hidden layers of the Gaussian-Bernoulli restricted Boltzmann machine (GB-RBM), in which the L0-norm based non-zero value ratio...
In the past years, deep convolutional neural networks (CNNs) have become extremely popular in the computer vision and pattern recognition community. The computational power of modern processors, efficient stochastic optimization algorithms, and large amounts of training data allowed training complex tasks-specific features directly from the data in an end-to-end fashion, as opposed to the traditional...
We present a density-based Data Pruning method for Deep Reinforcement Learning (DRL) to improve learning stability and long-term memory in rare situations. The method controls density distribution in the experience pool by discarding high correlation data and preserving rare and unique data. We apply our method to Deep Q-networks (DQN) and Deep Deterministic Policy Gradients (DDPG) for testing in...
Serious games are becoming an increasingly used alternative in technical/professional/academic fields. However, scenario development poses a challenging problem since it is an expensive task, only devoted to computer specialists (game developers, programmers…). The ultimate goal of our work is to propose a new scenario-building approach capable of ensuring a high degree of deployment and reusability...
In order to make up the drawback of traditional skill assessment that is too subjective, the eye tracking has already been applied to various fields. Based on research on eye movement of flying skills, it is found that the average fixation time and eye moving trace of professional pilot varies from that of novice. It is still unclear the changes in eye movement data during key actions after improvement...
Melt index is considered one of the most important variables in determining chemical product quality and thus reliable prediction of melt index (MI) is essential in practical propylene polymerization processes. In this paper, a fuzzy support vector regression (FSVR) based model for propylene polymerization process is developed to predict the MI of polypropylene from other easily measured process variables...
In this study, we present a new phoneme-based deep neural network (DNN) framework for single microphone speech enhancement. While most speech enhancement algorithms overlook the phoneme structure of the speech signal, our proposed framework comprises a set of phoneme-specific DNNs (pDNNs), one for each phoneme, together with an additional phoneme-classification DNN (cDNN). The cDNN is responsible...
Intra-frame prediction in the High Efficiency Video Coding (HEVC) standard can be empirically improved by applying sets of recursive two-dimensional filters to the predicted values. However, this approach does not allow (or complicates significantly) the parallel computation of pixel predictions. In this work we analyze why the recursive filters are effective, and use the results to derive sets of...
Recently, an explicit control of weight sparsity level between the layers in the deep neural network has been proposed and gainfully been utilized to resting-state fMRI (rfMRI) data. However, the reliability of the weight sparsity control scheme via the percentage of non-zero weights (PNZ) was not systematically evaluated in term of the convergence property of the sparsity levels across various scenarios...
Growing streams of the information and changes in all spheres of living demand the search of new ways of the person effective functioning in a modern information field. One of such ways is the use of information technologies in education system, in particular, in foreign language training of the future specialists. In this paper principles of development of the special professional educational environment,...
The study intends to explore EFL learners' Rhythm of English through a phonetic experiment over the reading-aloud task produced by the English learners from Guangxi Zhuang Autonomous Region. The tested subjects are grouped as the first-year non-major learners(NM1), the second-year non-major learners(NM2), the first-year major learners(M1) and the second-year major learners(M2). On the basis of the...
This paper studies from the training process of teaching stage, to provide analysis on influencing factors of professional training quality of E-commerce talents, including optimization of the curriculum system and teaching content, etc. Then relative evaluation indexes are deduced by these factors. We establish E-commerce talent training quality evaluation index system and propose fuzzy comprehensive...
This paper analyzes the basis of badminton special feature, energy supply characteristics, relationship between physical fitness and special quality, and evaluation theory to establish special quality evaluation index architecture, which can provide better distinction and reliability for badminton players. We adopt standard percentage method and deviation method to establish representative index score...
Marine simulator has been widely applied to the seafarer training and examination. But, there have been still no standardized criteria on evaluation of the operation level of the trainees, which can influence the training quality and the effectiveness of the evaluation results. Therefore, it is extremely necessary to establish an automatic assessment system for operations on marine simulator. Besides,...
Within our approach to big data, we reduce the number of images in video footage by applying a shot detection with a keyframe extraction of single frames. This can be followed by duplicate removal and face detection processes yielding to a further data reduction. Nevertheless, additional reductions steps are necessary in order to make the data manageable (searchable) for the end user in a meaningful...
Safety culture construction has significant impact on fire prevention in oilfield. Reasonable evaluation index system should be set up to evaluate the state and quality of safety culture construction in oilfield enterprise teams while further study should be taken and validated on spot. Framework of safety culture construction in Oilfield enterprise teams was put up. By SMART principle and occupation...
The cell manufacturing system of a labor concentration type is still in the important position of the manufacturing industry in spite of the increase in automation system. Therefore, an effective skill education is required for their operation. In this study, the proposal and verification of the allocation planning, which focuses on the process of skill proficiency, is carried out by developing expert...
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