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In molecular biology, phenotypes are often described using complex semantics and diverse biomedical expressions, thereby facilitating the development of named entity recognition (NER). Here, we propose a novel approach of recognizing plant phenotypes by cascading word embedding to sentence embedding with a class label enhancement. We utilized a word embedding method to find high-frequency phenotypes...
Ensemble methods use multiple classifiers to achieve better decisions than could be achieved using any of the constituent classifiers alone. However, both theoretical and experimental evidence have shown that very large ensembles are not necessarily superior, and small ensembles can often achieve better results. In this paper, we show how to combine a set of weak classifiers into a robust ensemble...
Signal processing is very much tied to extracting information and making inferences from physical phenomena. The traditional modalities to which our field is given credit for advancing are speech, images, video, communication signals, remote sensing, and a number of biomedical sensors that digital and array processing methods enable. More recently, brain?machine interfaces (BMIs) have also become...
Gossiping models have been increasingly applied to study social network phenomena, in particular, to model the dynamics of social behavior or belief through local interactions. In this context, this paper investigates how the opinions of social agents diffuse in a network under a so-called hard-interaction model, in which the agents interact more strongly with neighbors that share their beliefs and...
It is interesting that the higher rate of public concern and lack scientific research on riding techniques of speed horse race compare with equestrian. In this study, riding postures of different class jockeys were tested under varied speeds by means of simulation horse to explore a simple way of evaluating jockey's posture control ability.
Estimation of the order of functional magnetic resonance imaging (fMRI) data is a crucial step in data-driven methods assuming a multivariate linear model. Use of information theoretic criteria for model order detection was proven useful but the sample dependence in fMRI data limits this usefulness. In this paper, we propose an iterative procedure that jointly estimates the downsampling depth and...
This paper analyzes the impact of the development of e-commerce on China's economic growth from an empirical perspective. By using co integration, error correction model and Granger causality test on the two time-series in econometric way with the e-commerce transactions and GDP data from 1998 to 2005, it shows the amount of e-commerce transactions promotes economic development and there are long-term...
The aim of paper is to use Genetic algorithm and Monte Carlo to price convertible bond with finite maturity. As we known, Monte Carlo is hardly applied to price the derivatives with optimal items. Combined with Genetic algorithm and Cubic sample function, Monte Carlo not only solves the convertible bond with optimal conversion items, but also prices that with long-range dependence property. By evaluating...
The rapid progress of information technology and the widely utilization of network technology promote the growth of digital company. For resulting the competitive and cooperated relation among participants in the dynamic alliance of digital company, game model is established, and the game mechanism as while as the game analysis are proposed to clarify the complex relation in the digital network structure...
The aim of this paper was to get a mathematical description on T cell-mediated cytolysis which we consider to be the dominant contributor of tumor regression, by studying a kinetic model of the effector cell response to cancer, which has been provided by R. P. Garay and R. Lefever. The methods employed were mathematical methods: differential analysis, Liapunov's method of stability, and linear systems...
Currently, domestic and foreign financial institutions are concentrating on a particular city. It cause the financial industry highly concentrated. And financial concentration plays an important role on regional economic growth. Space gathering has become the trend of financial services development. And financial concentration is playing an important role on regional economic growth. By constructing...
The dynamical theory of chaos is the new analysis method of study on the exchange rate undulation in the foreign exchange market. In order to study the chaos behavior of the Euro exchange rate, this paper put the purchase price of the RMB to the Euro as the sample and analyzes the nonlinear character of the Euro exchange rate. This paper figures out the Hurst exponent by the R/S analysis and confirms...
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization, manifold discovery and other application in discrete data. However, LDA alone does not perform well in IR application. We alleviate it by biased parameter estimation, which makes the topics in LDA more independent than standard LDA. We introduced the background for the biased estimation...
This paper considers practical stability of stochastic swarm systems. Taking a simple function of mutual attraction and repulsion between the individuals, a stochastic swarm model with and without perturbations is defined. The practical stability of the system is proved. Then, stochastic swarm models with some kinds of perturbations and their corresponding practical stability are discussed. Finally,...
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