Post-editing has been successfully applied to correct the output of MT systems to generate better translation, but as a downstream task its positive feedback to MT has not been well studied. In this paper, we present ...
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Artificial plant optimization algorithm is a novel stochastic population-based evolutionary algorithm by simulating the plant growing process. In this paper, a new variant, which is called APOA-DC is proposed by incor...
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Artificial plant optimization algorithm is a novel stochastic population-based evolutionary algorithm by simulating the plant growing process. In this paper, a new variant, which is called APOA-DC is proposed by incorporating with dynamic population size and cluster methods, furthermore, to investigate the performance, APOA-DC is applied to optimize the DV-Hop localization algorithm, simulation results show it achieves better performance than the DV-Hop algorithm.
Given a budget and a network where different nodes have different costs to be selected, the budgeted influence maximization is to select seeds on budget so that the number of final influenced nodes can be maximized. I...
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An axiomatic system is presented in this paper, which has a modal operator such that φ ≡ 1 φ ˄ 2φ,where 1 and 2 are the modal operators of the language for the axiom system S5. The axiomatic system for is proved t...
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The propositional modal logic is obtained by adding the necessity operator to the propositional logic. Each formula in the propositional logic is equivalent to a formula in the disjunctive normal form. In order to obt...
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Curvelet transform is the combination of the multi-scale analysis and multi-directional analysis transforms, which is more suitable for objects with curves. Applications of the curvelet transform have increased rapidl...
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In multi-agent system, agents work together for solving complex tasks and reaching common goals. In this paper, we propose a cognitive model for multi-agent collaboration. Based on the cognitive model, an agent archit...
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In multi-agent system, agents work together for solving complex tasks and reaching common goals. In this paper, we propose a cognitive model for multi-agent collaboration. Based on the cognitive model, an agent architecture will also be presented. This agent has BDI, awareness and policy driven mechanism concurrently. These approaches are integrated in one agent that will make multi-agent collaboration more practical in the real world.
Geometric correction is an essential processing procedure in remote sensing image processing. The algorithms used in geometric correction are time intensive and the size of remote sensing images is very large. Meanwhi...
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It has become a challenging work to collect valuable information from fast text streams. In this work, we propose a method which gains useful information effectively and efficiently. Firstly, we maintain an analyzer b...
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