It is a significant challenge to discover knowledge from noise data. Most of previous works have focused on the data cleansing and the correction for the benefit of the subsequent mining process. When the training dat...
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For the vast amounts of data on the Web, this paper presents an extraction method of semantic label of entity relation in the tourism domain based on the conditional random fields and rules. In this method, firstly ma...
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In the real world, images always have several visual objects instead of only one, which makes it difficult for traditional object recognition methods to deal with them. In this paper, we propose an ensemble method for...
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This paper addresses the problem of plot controllable story generation model. Since most of the previous works focus on logically flawless plot, the main challenge is the need for more generic method to generate drama...
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This paper intends to focus on vehicles steering by analyzing the trajectory. The target values we need to measure are the vehicle's speed and turning angle. These two values are needed to be quantified to certain...
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MicroRNAs （miRNAs）, a class of ～20-24 nt long non-coding RNAs, have critical roles in diverse biological processes including devel- opment, proliferation, stress response, etc. With the development and availability...
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MicroRNAs （miRNAs）, a class of ～20-24 nt long non-coding RNAs, have critical roles in diverse biological processes including devel- opment, proliferation, stress response, etc. With the development and availability of experimental technologies and computational approaches, the field of miRNA biology has advanced tremendously over the last decade. By sequence complementarity, miRNAs have been estimated to regulate certain mRNA transcripts. Although it was once thought to be simple and straightforward to find plant miR NA targets, this viewpoint is being challenged by genetic and biochemical studies. In this review, we summarize recent progress in plant miRNA target recognition mechanisms, principles of target prediction, and introduce current experimental and computational tools for plant miRNA target prediction. At the end, we also present our thinking on the outlook for future directions in the development of plant miRNA target finding methods.
Accumulating commonsense knowledge (CK) has proven very useful for many natural language processing *** far the most reliable way of acquisition is still relying on knowledge contributors to offer ***,knowledge contri...
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Accumulating commonsense knowledge (CK) has proven very useful for many natural language processing *** far the most reliable way of acquisition is still relying on knowledge contributors to offer ***,knowledge contributors often fail to think of much CK because this knowledge is usually taken for granted by *** this paper,we explore the issue of reminding knowledge contributors by means of hint ***,we investigate what kinds of CK are easily ignored,analyze its reason and suggest possible *** hope to sketch sources of the research problem and suggest possible ways forward.
Ant colony optimization algorithms have been successfully applied to solve many problems. However, in some large scale optimization problems involving large amounts of data, the optimization process may take hours or ...
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Traditional learning techniques have the assumption that training and test data are drawn from the same data distribution, and thus they are not suitable for dealing with the situation where new unlabeled data are obt...
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In this paper, we present a new scheme to segment a given image. This scheme utilizes neuro-fuzzy system to derive a proper set of contour pixels based on multi-scale images. We use these fuzzy derivatives to develop ...
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In this paper, we present a new scheme to segment a given image. This scheme utilizes neuro-fuzzy system to derive a proper set of contour pixels based on multi-scale images. We use these fuzzy derivatives to develop a new curve evolution model. The model automatically detect smooth boundaries, scaling the energy term, and change of topology according to the extracted con- tour pixels set. We present the numerical implementation and the experimental results based on the semi-implicit method. Experi- mental results show that one can obtains a high clualitv edge contour.
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