Software performance engineering aims at predicting and improving the performance of applications during development and in production. This paper presents a framework for performance engineering of information system...
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Reinforcement Learning (RL) is an extraordinarily paradigm that aims to solve a complex problem. This technique leverages the traditional feedforward networks with temporal-difference learning to overcome supervised a...
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Recent methods of patient clinical outcome prediction focus on embedding the temporal time-series data by sequential data encoders without considering the dependency between the different variables and the static demo...
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In this paper, a 15×15 beam scanning reflectarray operating in 150-160 GHz is proposed. The element consists of 3-layer patches conducted with metal vias. The proposed weighted average phase compensation method i...
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In Sri Lanka, sea cucumbers are a highly sought-after marine product that is traded abroad. It has gained significant attention in recent years due to its high demand in the seafood market and its medicinal properties...
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An indirect adaptive control approach based on LS-SVM is proposed for a class of nonlinear dynamic systems with unknown nonlinearities in this paper. The LS-SVM technique is employed to perform approximating unknown n...
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As a part from the great revolution that was occurred recently, a continuous improvement was and still achieved in communication and network field. Wireless Sensor Networks was emerged as a result for this development...
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Webinars have been widely used in the education before the COVID-19 pandemic due to the application development in the face-to-face learning process. When someday the pandemic ends, will the habit of using webinar tec...
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Principal component analysis (PCA) projects data on the directions with maximal variances. Since PCA is quite effective in dimension reduction, it has been widely used in computer vision. However, conventional PCA suf...
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We present a novel language-model-based approach to re-ranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information with that induced from passages. Spec...
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ISBN:
(纸本)9781605585123
We present a novel language-model-based approach to re-ranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information with that induced from passages. Specifically, inter-passage, inter-document, and query-based similarities are integrated in our model. Empirical evaluation demonstrates the effectiveness of our approach. Copyright 2009 ACM.
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