结合意图与关键词的句子级交互文本匹配模型

文本语义匹配作为自然语言处理中的基础任务之一,在检索、问答和推荐等许多领域中都有所应用。传统的文本匹配大致分为基于表示的结构和基于交互的结构,其中基于表示的结构往往缺乏两个句子之间的信息交互,而基于交互的结构容易忽视句子全局的表征信息。针对以上问题,提出了一种结合意图与关键词的句子级交互文本匹配模型,首先采用基于表示的模型得出两个句子的全局匹配概率,其次利用远程监督将两个句子中的意图与关键词分离,两两分别进行匹配,而后引入基于注意力的交互模块对两个句子整体进行句子级的语义信息交互,最后结合三个模块得出最终的匹配结果。实验结果表明,模型在数据集MRPC上准确度提升0.3%,QQP上准确度提升0.4%,验证了所提出的模型相较于基线模型能够提取更丰富的语义特征,提高文本匹配任务的效果。

An Algorithm of the Adaptive Grid and Fuzzy Interacting Multiple Model

This paper studies the algorithm of the adaptive grid and fuzzy interacting multiple model （AGFIMM） for maneuvering target tracking, while focusing on the problems of the fixed structure multiple model （FSMM） algorithm＇s cost-efficiency ratio being not high and the Markov transition probability of the interacting multiple model （IMM） algorithm being difficult to determine exactly. This algorithm realizes the adaptive model set by adaptive grid adjustment, and obtains each model matching degree in the model set by fuzzy logic inference. The simulation results show that the AGFIMM algorithm can effectively improve the accuracy and cost-efficiency ratio of the multiple model algorithm, and as a result is suitable for enineering apolications.

Advanced User-Based Interaction Model in Cloud

With the increasing popularity of cloud computing, there is an increased de mand for cloud resources in cloud. It has be come even more urgent to find solutions to improve resource utilization. From the per spective of a cloud consumer, a cloud applica tion processes a large information flow in volving user actions that access resources, but little work has so far been devoted to research from the perspective of the interaction be tween the user and the cloud application. In this paper, we analyze the interaction in detail, and propose a general mathematical interac tion model to formulate the challenge pertain ing to storage resource allocation as an opti mization problem, focusing on minimizing both the user＇s cost and server＇s consumption. A potential response mechanism is then de signed based on the interaction model. Fur thermore, the proposed model is used to ex plore strategies when multiple users access the same file simultaneously. Additionally, an improved queuing system, namely M/ G~ oo queue with standby, is introduced. Finally, an evaluation is presented to verify the interac- tion model.

Maneuvering target tracking algorithm based on cubature Kalman filter with observation iterated update

Reasonable selection and optimization of a filter used in model estimation for a multiple model structure is the key to improve tracking accuracy of maneuvering target.Combining with the cubature Kalman filter with iterated observation update and the interacting multiple model method,a novel interacting multiple model algorithm based on the cubature Kalman filter with observation iterated update is proposed.Firstly,aiming to the structural features of cubature Kalman filter,the cubature Kalman filter with observation iterated update is constructed by the mechanism of iterated observation update.Secondly,the improved cubature Kalman filter is used as the model filter of interacting multiple model,and the stability and reliability of model identification and state estimation are effectively promoted by the optimization of model filtering step.In the simulations,compared with classic improved interacting multiple model algorithms,the theoretical analysis and experimental results show the feasibility and validity of the proposed algorithm.

Interacting Entropy-Corrected Holographic Scalar Field Models in Non-Flat Universe

In this work we establish a correspondence between the tachyon, k-essence and dilaton scalar field models with the interacting entropy-corrected holographic dark （ECHD） model in non-fiat FRW universe. The reconstruction of potentials and dynamics of these scalar fields according to the evolutionary behavior of the interacting ECHDE model are done. It has been shown that the phantom divide can not be crossed in ECHDE tachyon model while it is achieved for ECHDE k-essence and ECHDE dilaton scenarios. At last we calculate the limiting case of interacting ECHDE model, without entropy-correction.

Research on the Cultural Inheritance and Vision Interactive and the Applications on Contemporary Art Design

In this paper, we conduct research on the cultural inheritance and vision interactive and the applications on the contemporary art design. In the interaction design, establishment of metaphor interactive model is relates the key of user image model and designer image model is, through finding in two models product altogether has the characteristics, and reveals with the design language the characteristics, communicates with the user, thus enables the user to understand and grasp product the structure, function, usage-style and other information of rapidly. The inheritance rise of culture to some altitude, with the life or death strong and weak dependence department of the nationality and French structuralism anthropology believes that the behavior and standard of humanity are, the origins and development processes of various cultures by the deep structure of culture is decided has its similarity. Under this basis, this paper proposes the new combination model for later integration that will promote the development of the contemporary art design.

The Prediction Analysis of Customer Lifetime Value in Business to Business Enterprise

The measurement of customer assets value has become a significant task in the field of marketing. Although a series of achievements have been formed, the deeper research is still needed in the following aspects： how to build parameter estimation model of various variables based on the interaction among customer assets elements and how to get the scientific and available measured data. In order to solve these problems, this paper, based on the characteristics of customer relationship in Business to Business （B to B） enterprise and the analysis of the variable factors in the interactive models will systematically and practically use the seemingly unrelated regression method to construct three main parameters estimation models in the customer assets measurement model, and prove the feasibility of the model through a case study. Research results show that measurement model system constructed by this method solves the problem of interaction and germination among parameters influencing factors. At the same time, factors concentration simplifies data sources to ensure the reliability and objectivity of the data, and thus improve the accuracy and feasibility of the estimation of customer assets value.

Revisiting the interacting model of new agegraphic dark energy

In this paper, a new version of the interacting model of new agegraphic dark energy （INADE） is proposed and analyzed in detail. The interaction between dark energy and dark matter is reconsidered. The interaction term Q = bh0ραdcρ1-α dm is adopted, which abandons the Hubble expansion rate H and involves both Pae and Pare. Moreover, the new initial condition for the agegraphie dark energy is used, which solves the problem of accommodating baryon matter and radiation in the model. The solution of the model can be given using an iterative algorithm. A concrete example for the calculation of the model is given. Furthermore, the model is constrained by using the combined Planck data （Planck＋BAO＋SNIa＋H0） and the combined WMAP-9 data （WMAP＋BAO＋SNIa＋H0）. Three typical cases are considered： （A） Q = bHoPde, （B） Q = bHo√ρdeρdm,and （C） Q = bHopdm, which correspond to α = 1, 1/2, and 0, respectively. The departures of the models from the ACDM model are measured by the ABIC and AAIC values. It is shown that the INADE model is better than the NADE model in the fit, and the 1NADE（A） model is the best in fitting data among the three cases.