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As a state-of-the-art ensemble method, random forest which exhibits a good ability to predict and generalize on various dataset is often composed of a large number of trees. Redundancy of ensemble and connotative decision rules result in expensive operational costs as well as difficulties in comprehension. In this paper, novel leaf node-level pruning methods for random forest are proposed. Each leaf...
We consider the problem of routing packets with end-to-end hard deadlines in communication networks. The problem is challenging due to the complex spatial-temporal correlation among flows with different deadlines. To tackle this challenging problem, we introduce the concepts of virtual links/routes to incorporate end-to-end deadline constraints into routing and propose a novel virtual queue architecture...
Using balance sheet data for a panel of Chinese Listed firms, we try to find evidence of the balance sheet channel of monetary policy transmission. The results indicate that the quality of firms' balance sheet during the tighten period is worse than the quality during the loose period, and the effect of changes in monetary policy on the quality of firms' balance sheet is asymmetric over time. In periods...
A novel signal processing algorithm design for an intra-pulse LFM (linear frequency modulation) & inter-pulse PPM (pulse position modulation) compression radar altimeter is given. In order to enhance the performance of signal processing algorithm, a correlation integration algorithm based on mismatched code is provided. The corresponding flight verification test results in different terrain have...
To improving the efficiency of test pattern generation for combinational circuits based on the Boolean satisfiability (SAT) method, a TRL-based (Total Reconvergence Line) BDD (binary decision diagram) learning heuristics is presented in this paper. This heuristics combine the respective strengths of BDD, SAT and circuit structure based methods to solve local signal correlations. It firstly makes an...
A method to quantify clutter in color images is presented. This method is based on a grayscale clutter metric, target structure similarity (TSSIM) metric, which showed the best correlation with human perception than the other available metrics. The proposed new metric is designed to measure the background clutter in the perceptually decorrelated quasi-uniform color space of CIELAB. The TSSIM metric...
A cross-layer scheme, namely ALOHA with Collision Resolution (ALOHA-CR), is proposed for high throughput wireless communications in a cellular scenario. Transmissions occur in a time-slotted ALOHA-type fashion but with an important difference: simultaneous transmissions of two users can be successful. The physical layer required to achieve this functionality is described and the statistical properties...
Cognitive radio improves spectrum efficiency by allowing secondary users (SU) to dynamically exploit the idle spectrum owned by primary users (PU). This paper studies optimal bandwidth allocation for SUs. Consider the following tradeoff: a SU increases its instantaneous throughput by accessing larger bands, but channel switching overhead (due to the dynamics of PU activities) and contention among...
It is more and more difficult to find proper information for people in modern knowledge explosion society. Information recommendation systems can reduce information overload and provide appropriate content to targeted user. This paper proposes a new personalized recommendation technique based on mining the userpsilas reading behavior through 5W1H scheme. By comparing the user profile and the information...
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