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In this paper we develop a new spectrum sharing scheme that uses compressive sensing to support the coexistence of the sporadic machine-to-machine (M2M) communications and the persistent conventional communications such as the 5G cellular transmissions within the same channel. The redundancy in the transmitted signals, such as training symbols, pilots, MAC overheads and correlated data, is exploited...
In this paper, we develop a novel scheme to reduce the amount of training data required for training deep neural networks (DNNs). We first apply a partial mutual information (PMI) technique to seek for the optimal DNN feature set. Then we use a correlation matching based active learning (CMAL) technique to select and label the most informative training data. We integrate these two techniques with...
In this paper, we propose a joint machine learning and human learning design approach to make the training data labeling task in linear regression problems more efficient and robust to noise, modeling mismatch, and human labeling errors. Considering a sequential active learning scheme which relies on human learning to enlarge training data set, we integrate it with sparse outlier detection algorithms...
In this paper machine learning and human learning are applied jointly to optimize the training of linear regression. Human learning is exploited to label extra training data so as to resolve problems such as insufficient training and over-fitting. Considering the inevitable human errors in labeling, two machine learning algorithms are developed which optimize the selection of the extra training data...
Based on analysis of plate shape defect pattern in cold rolling, a defect recognition method using RBF-BP combinational neural network model optimized by genetic algorithm is proposed in this paper. The method makes use of genetic algorithm to optimize the weights and thresholds of the input layer, hidden layer and output layer in the RBF-BP network, and a GA-RBF-BP network model is formed. It can...
The caching has been developed for shortest path queries. At present, existing methods for the shortest path caching include the dynamic cache method Least-Recently-Used (LRU), the static cache method Highest-Query-Frequency (HQF), as well as a recently proposed method Shortest "Path" Cache (SPC). It is commonly known that LRU and HQF are not efficient enough for the shortest path caching...
Hydraulic bending roller is a most basic and important method for shape control of strip. The rolled shape quality is decided by the setting value of bending farce in great part. This paper chooses five-stand hot tandem rolling mill in 1810 product line of Tangshan Iron and Steel Company as background, and deals primarily with the study of the bending force prediction model of the rolling unit. To...
Training is an effective means to improve political, cultural and managing levels of specialized university administrative staffs. The training pertinence, effectiveness and practicability can be enhanced by innovating training mode of university administrative staffs and carrying out features analysis and scientific classification about the trainees, training materials and methods.
Innovations in the construction mechanism of teaching staff are the essential assurance measures for strengthening the core competence and promoting the sustainable development of higher education institutions. This paper makes scientific classification of management system of teaching staff in higher education institutions, discusses the feedback and amendment system of construction of teaching staff,...
The characteristics of the modern college or university administration staff determine that the administrators should implement professional management model, or it will be difficult for colleges or universities to complete the complicated management function pertinent to the mission granted by higher education. The professionalization of college or university administrators has continued to mature...
Based on the perfection of a series of management system involving the development plan of teaching faculty, the introduction of high-level talents, and faculty training at higher educational institutes, this article mainly explores the systematic, forward-looking, and meticulous principle by which to build up a system of teaching faculty construction, as well as its ensuing feedback and modification...
Training is an effective means to improve political, cultural and managing levels of specialized university administrative staffs. We can raise the training pertinence, effectiveness and practicability by innovating the training mode of university administrative staffs, such as analyzing the features of the trainees, training materials and methods and categorizing them into scientific classification.
The importance of the practice ability of students is discussed in this article. Constructing one index system related to improve the direct and indirect practice approach of students is set up and a model of comprehensive evaluation about the practice ability is given. This model fills up the checking process of practice teaching.
A gallium nitride Doherty power amplifier (GaN Doherty PA) was designed for 2.5 GHz WiMAX band, and a radial-basis function neural network (RBFNN) model is proposed for predicting this amplifier' nonlinear characteristics. Comparison of AM/AM, AM/PM, PAE and Pout curves between the RBFNN model and circuit simulation are given. After 125 epochs, the convergence of this RBFNN model becomes slower and...
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