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检索条件"机构=State Key Lab. of Intelligent Control and Systems"

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Dynamic features measurement and analysis for large-scale networks

Dynamic features measurement and analysis for large-scale ne...

引用

ICC 2008 - 2008 IEEE International Conference on Communications Workshops

作者： Qin, Tao Guan, Xiaohong Li, Wei Wang, Pinghui IEEE MOE Key Lab. for Intelligent Networks and Network Security State Key Lab. for Manufacturing Systems Xi'an Jiaotong University Xi'an China Department of Automation TNLIST Lab. Tsinghua University Beijing China

ISBN: (纸本)9781424420513

Detecting and measuring the changes of temporal traffic patterns in large scale networks are crucial for effective network management. This paper presents the concept of region flow to aggregate traffic packets. Regions are defined by the IP prefix, and a region flow is a group of packets with the same source and destination region during a time interval. In this way, the number of flows can be reduced significantly and a better extraction of pivotal traffic metrics is generated. Three traffic features: source connection degree, destination connection degree and packet distribution ratio are proposed to capture the dynamic change of the flow patterns between regions and the Renyi cross entropy are applied to measure and detect the changes. The experimental results show that the method proposed in this paper can capture the dynamic traffic features effectively for 10Gbps backbone networks, and can be used for detecting abnormal network behaviors. ©2008 IEEE.

关键词： Feature extraction

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An interpretable reasoning network for multi-relation question answering 27

An interpretable reasoning network for multi-relation questi...

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27th International Conference on Computational Linguistics, COLING 2018

作者： Zhou, Mantong Huang, Minlie Zhu, Xiaoyan State Key Lab. of Intelligent Technology and Systems National Lab. for Information Science and Technology Dept. of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781948087506

Multi-relation Question Answering is a challenging task, due to the requirement of elab.rated analysis on questions and reasoning over multiple fact triples in knowledge base. In this paper, we present a novel model called Interpretable Reasoning Network that employs an interpretable, hop-by-hop reasoning process for question answering. The model dynamically decides which part of an input question should be analyzed at each hop;predicts a relation that corresponds to the current parsed results;utilizes the predicted relation to update the question representation and the state of the reasoning process;and then drives the next-hop reasoning. Experiments show that our model yields state-of-the-art results on two datasets. More interestingly, the model can offer traceable and observable intermediate predictions for reasoning analysis and failure diagnosis, thereby allowing manual manipulation in predicting the final answer. © 2018 COLING 2018 - 27th International Conference on Computational Linguistics, Proceedings. All rights reserved.

关键词： Knowledge based systems

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The DAO to Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Space

The DAO to Social Transportation: Towards Smart Mobility in ...

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2023 IEEE International Conference on systems, Man, and Cybernetics, SMC 2023

作者： Chen, Yuanyuan Lv, Yisheng Wang, Fei-Yue Institute of Automation State Key Lab. of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China Chinese Academy of Sciences State Key Lab. for Management and Control of Complex Systems Beijing100190 China

ISBN: (纸本)9798350337020

The rapid advancement of intelligence and connectivity technology (ICT) has enhanced the efficiency and safety of intelligent transportation systems (ITS). However, this also increases the complexity of the transportation systems, especially the social complexity, and poses new challenges for their management. This paper discusses the emergence of social transportation, as part of natural evolutionary adaptation to new traffic conditions and technology, which is a paradigm shift from engineering-centered technical systems to society-centered ecosystems. In social transportation systems, all participants including administrators, individual travelers and other stakeholders play a more proactive role in the operation and management of transportation systems. Therefore, we propose to employ a decen-tralized autonomous organization (DAO) as a model for the social transportation system that allows participants to collab.rate and coordinate without relying on a central authority. To meet the challenges brought by this transition, we propose to apply ACP-based parallel system theory to restructure the methodology of transportation management. Finally, we present a case study of personal carbon trading system where economic incentives are used to manage traffic demand, affecting others' travel behaviors, and reduce carbon emissions. In the conclusive remarks, we provide our visions and future directions of social transportation systems. © 2023 IEEE.

关键词： block chain cyber-physical-social system decentralized and autonomous organization social transportation

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Content-based and graph-based tag suggestion

Content-based and graph-based tag suggestion

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International Workshop on Discovery Challenge, DC 2009 at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2009

作者： Si, Xiance Liu, Zhiyuan Li, Peng Jiang, Qixia Sun, Maosong State Key Lab. on Intelligent Technology and Systems Dept. of Computer Science and Technology Tsinghua University Beijing 100084 China

Social tagging is a popular and convenient way to organize information. Automatic tag suggestion can ease the user's tagging activity. In this paper, we exam both content-based and graph-based methods for tag suggestion using the BibSonomy dataset, and describe our methods for ECML/PKDD Discovery Challenge 2009 submissions. In content-based tag suggestion, we propose a fast yet accurate method named Feature-Driven Tagging. In graph-based tag suggestion, we apply DiffusionRank to solve the problem, and get a better result than current state-of-the-art methods in cross-validation.

关键词： User interfaces

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Locally spatiotemporal saliency representation: The role of independent component analysis

引用

2nd International Symposium on Neural Networks

作者： Jiang, T Jiang, XZ State Key Lab. of Intelligent Technology and Systems Tsinghua University Beijing 100084 China Department 5 Navy University of Engineering Wuhan 430033 China

ISBN: (纸本)3540259120

Locally spatiotemporal salience is defined as the combination of the local contrast salience from multiple paralleling independent spatiotemporal feature channels. The computational model proposed in this paper adopts independent component analysis (ICA) to model the spatiotemporal receptive filed of visual simple cells, then uses the learned independent filters for feature extraction. The ICA-based feature extraction for modelling locally spatiotemporal saliency representation (LSTSR) provides such benefits: (1) valid to use LSTSR directly for locally spatial saliency representation (LSSR) since it includes LSSR as one of its special case;(2) Plausible for space variant sampled dynamic scene;(3) Effective for motion-based scene segmentation. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Independent component analysis

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THUIR at TREC 2009 Web track: Finding relevant and diverse results for large scale Web Search

THUIR at TREC 2009 Web track: Finding relevant and diverse r...

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18th Text REtrieval Conference, TREC 2009

作者： Li, Z.C. Chen, F. Xing, Q.L. Miao, J.W. Xue, Y.F. Zhu, T. Zhou, B. Cen, R.W. Liu, Y.Q. Zhang, M. Jin, Y.J. Ma, S.P. State Key Lab. of Intelligent Technology and Systems Dept. of Computer Science and Technology Tsinghua University Beijing 10084 China

This is the 8th year that IR group of Tsinghua University (THUIR) participates in TREC. This year we focus on Web track, which contains two tasks, namely ad hoc and diversity. On ad hoc task, we improved the efficiency of our distributed retrieval system TMiner to handle terabytes of Web data. Then three studies have been done, namely page quality estimation, ranking feature analysis, and model comparison. On diversity task, we proposed several new approaches on searching strategy, user intention detection, and duplication elimination. To mine user's intention, we proposed and compared two different strategies, namely "searching + content-based diversity' which is a kind of result clustering, and "user based diverse intention prediction + searching' which is in the branch of query expansion.

关键词： Search engines

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Reducing time-synchronous beam search effort using stage based look-ahead and Language Model Rank based pruning 6

Reducing time-synchronous beam search effort using stage bas...

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6th International Conference on Spoken Language Processing, ICSLP 2000

作者： Wu, Jian Zheng, Fang Center of Speech Technology State Key Lab. of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University China

ISBN: (纸本)7801501144

In this paper, we present an efficient look-ahead technique based on both the Language Model (LM) Look-Ahead and the Acoustic Model (AM) Look-Ahead, for the time-synchronous beam search in the large vocabulary speech recognition. In this so-call stage based look-ahead (SLA) technique, two predicting processes with different hypothesis evaluating criteria are organized by stages according to the different requirements for pruning the unlikely surviving hypotheses. Furthermore, in order to reduce the efforts for distributing the LM over the lexical tree more effectively, the LM Rank based Pruning (LMRP) is integrated with the extension of each new phoneme node. The recognition experiments performed on the 50k-word Mandarin Dictation task (Easytalk2000) show that a reduction by 10 percents in the search effort in comparison with the standard word-conditioned search using LM look-ahead only, and a reduction of 25 percents in the word error rates in comparison with the search algorithm without any look-ahead can be achieved.

关键词： Computational linguistics

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Modeling, control and filtering of multi-time-scale dynamical systems based on fuzzy singularly perturbed models

Modeling, control and filtering of multi-time-scale dynamica...

引用

ISDA 2006: Sixth International Conference on intelligent systems Design and Applications

作者： Sun, Fuchun Dept. of Computer Science and Technology State Key Lab. of Intelligent Technology and Systems Tsinghua University Beijing 100084 China

ISBN: (纸本)0769525288

In this talk, a fuzzy singularly perturbed model is proposed for the modeling, control and filtering of a class of multi-time-scale dynamical systems, such as semiconductor packaging processes, multi-link (joint) flexible manipulators and large scale flexible space structure. The variant expands the idea from Takagi-Sugeno type fuzzy system that the dynamics of a class of distributed parameter systems can be approximated by softly merging locally linear singularly perturbed model, and an increased partition of fuzzy space will lead to a more precise approximation. As a result, the control problem for multi-time scale dynamical systems can be reduced to that for fuzzy singularly perturbed system so that plentiful of theoretical results are hopefully obtained. Main achievements in this field will be reported, which are carried out in my research group at National lab.of Information Science and Technology of Tsinghua University. These researches include fuzzy singularly perturbed model (FSPM), its universal approximation, controller synthesis and filtering for discrete-time and continuous-time multi-time-scale dynamical systems.

关键词： Dynamical systems

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Reinforcement learning control for ship steering using recursive least-squares algorithm

Reinforcement learning control for ship steering using recur...

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作者： Shen, Zhi-Peng Guo, Chen Yuan, Shi-Chun Lab. of Simulation and Control of Navigation Systems Dalian Maritime Univ. Dalian 116026 China State Key Laboratory of Intelligent Technology and System Tsinghua University Beijing 100084 China

ISBN: (纸本)008045108X

Recursive least-squares temporal difference algorithm (RLS-TD) is deduced, which can use data more efficiently with fast convergence and less computational burden. Reinforcement learning based on recursive least-squares methods is applied to ship steering control, as provides an efficient way for the improvement of ship steering control performance. It removes the defect that the conventional intelligent algorithm learning must be provided with some sample data. The parameters of controller are on-line learned and adjusted. Simulation results show that the ship course can be properly controlled in case of the disturbances of wave, wind, current. It is demonstrated that the proposed algorithm is a promising alternative to conventional autopilots. Copyright © 2005 IFAC.

关键词： Learning algorithms

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Polarity shifting: Corpus construction and analysis

Polarity shifting: Corpus construction and analysis

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2011 International Conference on Asian Language Processing, IALP 2011

作者： Zhang, Xiaoqian Li, Shoushan Zhou, Guodong Zhao, Hongxia Natural Language Processing Lab. Soochow University Suzhou China State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769545547

Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in various kinds of product reviews. In the corpus, both the sentimental words and shifting trigger words are annotated. Furthermore, we analyze all the polarity shifted sentences and categorize them into five categories: opinion-itself, holder, target, time and hypothesis. Experimental study shows the agreement of annotation and the distribution of the five categories of polarity shifting. © 2011 IEEE.

关键词： corpus annotation polarity shifting sentiment classification

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