Selection of test cases plays a key role in improving testing efficiency. Black-box testing is an important way of testing, and its validity lies on the selection of test cases in some sense. A reasonable and effectiv...Selection of test cases plays a key role in improving testing efficiency. Black-box testing is an important way of testing, and its validity lies on the selection of test cases in some sense. A reasonable and effective method about the selection and generation of test cases is urgently needed. This letter first introduces some usualmethods on black-box test case generation,then proposes a new algorithm based on interface parameters and discusses its properties, finally shows the effectiveness of the algorithm.展开更多
The xanthan fermentation data in the stationary phase was analyzed using the black box and the metabolic network models. The data consistency is checked through the elemental balance in the black box model. In the met...The xanthan fermentation data in the stationary phase was analyzed using the black box and the metabolic network models. The data consistency is checked through the elemental balance in the black box model. In the metabolic network model, the metabolic flux distribution in the cell is calculated using the metabolic flux analysis method, then the maintenance coefficients is calculated.展开更多
Border areas have provided significant new research questions as well as fruitful insights and hypotheses. The cognitive and neuropsychologic study of translation process is a good example of this kind. This paper has...Border areas have provided significant new research questions as well as fruitful insights and hypotheses. The cognitive and neuropsychologic study of translation process is a good example of this kind. This paper has surveyed various researches on translation process. Studies related to ＂the black box of translation＂ are divided into two categories, i.e., studies adopting think-aloud protocols, and studies from the physiology and neuroscientific perspectives. It has been noted that those studies on translation process have made some progress in the past years Firstly, the participants have undergone a change from language learners to professional translators or interpreters Secondly, the purposes of the studies have a tendency of gradually becoming specific. Thirdly, more rigorous methodologies have been developed, with more and more new technological approaches being applied展开更多
Notable for the completeness with which it surrenders formally and artistically to the textual dictates of Twitter, Jennifer Egan＇s 2012 short science fiction Black Box is one of the most triumphant and fully-fledged...Notable for the completeness with which it surrenders formally and artistically to the textual dictates of Twitter, Jennifer Egan＇s 2012 short science fiction Black Box is one of the most triumphant and fully-fledged fictions written in the form of new media. This paper explores the Twitter narrative employed in Black Box, pointing out that the serialized tweeting format of the story released via computer, mobile phone, or other electronic equipments brings readers immediate reading experience, allowing readers to sense the same feelings as the protagonist does. Through the experimental serialization of＂Twitter＂ narrative, Egan expresses her concerns and worries about the security of the American security as well as the whole world in the post-＂9.11＂ period and at the same time she embraces the virtues and pleasures of traditional storytelling delivered through a wholly new digital format. This paper concludes that Black Box is perhaps one of the boldest experiments of narrative form and is direct exploration into the contemporary image culture.展开更多
This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer representations.Although deep neural networks have exhibited ...This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer representations.Although deep neural networks have exhibited superior performance in various tasks,interpretability is always Achilles' heel of deep neural networks.At present,deep neural networks obtain high discrimination power at the cost of a low interpretability of their black-box representations.We believe that high model interpretability may help people break several bottlenecks of deep learning,e.g.,learning from a few annotations,learning via human–computer communications at the semantic level,and semantically debugging network representations.We focus on convolutional neural networks(CNNs),and revisit the visualization of CNN representations,methods of diagnosing representations of pre-trained CNNs,approaches for disentangling pre-trained CNN representations,learning of CNNs with disentangled representations,and middle-to-end learning based on model interpretability.Finally,we discuss prospective trends in explainable artificial intelligence.展开更多
This paper presents an improved early termination algorithm for sparse black box multivariate polynomials, which reduces the interpolation problem into several sub-interpolation problems with less variables and fewer ...This paper presents an improved early termination algorithm for sparse black box multivariate polynomials, which reduces the interpolation problem into several sub-interpolation problems with less variables and fewer terms. Actually, all interpolations are eventually reduced to the interpolation of a list of polynomials with less terms than that of the original polynomial. Extensive experiments show that the new algorithm is much faster than the original algorithm.展开更多
基金Supported in part by the National Natural Science Foundation of China (NSFC)(60073012),Natural Science Foundation of Jiangsu(BK2001004)
文摘Selection of test cases plays a key role in improving testing efficiency. Black-box testing is an important way of testing, and its validity lies on the selection of test cases in some sense. A reasonable and effective method about the selection and generation of test cases is urgently needed. This letter first introduces some usualmethods on black-box test case generation,then proposes a new algorithm based on interface parameters and discusses its properties, finally shows the effectiveness of the algorithm.
基金Supported by the National Natural Science Foundation of China(No.29776035).
文摘The xanthan fermentation data in the stationary phase was analyzed using the black box and the metabolic network models. The data consistency is checked through the elemental balance in the black box model. In the metabolic network model, the metabolic flux distribution in the cell is calculated using the metabolic flux analysis method, then the maintenance coefficients is calculated.
文摘Border areas have provided significant new research questions as well as fruitful insights and hypotheses. The cognitive and neuropsychologic study of translation process is a good example of this kind. This paper has surveyed various researches on translation process. Studies related to ＂the black box of translation＂ are divided into two categories, i.e., studies adopting think-aloud protocols, and studies from the physiology and neuroscientific perspectives. It has been noted that those studies on translation process have made some progress in the past years Firstly, the participants have undergone a change from language learners to professional translators or interpreters Secondly, the purposes of the studies have a tendency of gradually becoming specific. Thirdly, more rigorous methodologies have been developed, with more and more new technological approaches being applied
文摘Notable for the completeness with which it surrenders formally and artistically to the textual dictates of Twitter, Jennifer Egan＇s 2012 short science fiction Black Box is one of the most triumphant and fully-fledged fictions written in the form of new media. This paper explores the Twitter narrative employed in Black Box, pointing out that the serialized tweeting format of the story released via computer, mobile phone, or other electronic equipments brings readers immediate reading experience, allowing readers to sense the same feelings as the protagonist does. Through the experimental serialization of＂Twitter＂ narrative, Egan expresses her concerns and worries about the security of the American security as well as the whole world in the post-＂9.11＂ period and at the same time she embraces the virtues and pleasures of traditional storytelling delivered through a wholly new digital format. This paper concludes that Black Box is perhaps one of the boldest experiments of narrative form and is direct exploration into the contemporary image culture.
基金supported by the ONR MURI pro ject(No.N00014-16-1-2007)the DARPA XAI Award(No.N66001-17-2-4029)NSF IIS(No.1423305)
文摘This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer representations.Although deep neural networks have exhibited superior performance in various tasks,interpretability is always Achilles' heel of deep neural networks.At present,deep neural networks obtain high discrimination power at the cost of a low interpretability of their black-box representations.We believe that high model interpretability may help people break several bottlenecks of deep learning,e.g.,learning from a few annotations,learning via human–computer communications at the semantic level,and semantically debugging network representations.We focus on convolutional neural networks(CNNs),and revisit the visualization of CNN representations,methods of diagnosing representations of pre-trained CNNs,approaches for disentangling pre-trained CNN representations,learning of CNNs with disentangled representations,and middle-to-end learning based on model interpretability.Finally,we discuss prospective trends in explainable artificial intelligence.
基金supported by the National Natural Science Foundation of China under Grant No.11688101
文摘This paper presents an improved early termination algorithm for sparse black box multivariate polynomials, which reduces the interpolation problem into several sub-interpolation problems with less variables and fewer terms. Actually, all interpolations are eventually reduced to the interpolation of a list of polynomials with less terms than that of the original polynomial. Extensive experiments show that the new algorithm is much faster than the original algorithm.
