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5th International Joint Conference on Natural Language Processing, IJCNLP 2011

作者： Dai, Hong-Jie Tsai, Richard Tzong-Han Hsu, Wen-Lian Department of Computer Science National Tsing Hua University 300 No. 101 Section 2 Kuang-Fu Road Hsinchu Taiwan Intelligent Agent Systems Lab. Institute of Information Science Academia Sinica 128 Academia Road Sec.2 Nankang Taipei Taiwan Department of Computer Science and Engineering Yuan Ze University 135 Yuan-Tung Road Chungli Taoyuan Taiwan

ISBN: (纸本)9789744665645

Entity linking (EL) is the task of linking a textual named entity mention to a knowledge base entry. It is a difficult task involving many challenges, but the most crucial problem is entity ambiguity. Traditional EL approaches usually employ different constraints and filtering techniques to improve performance. However, these constraints are executed in several different stages and cannot be used interactively. In this paper, we propose several disambiguation formulae/features and employ a Markov logic network to model interweaved constraints found in one type of EL, gene mention linking. To assess our systems effectiveness in different applications, we adopt two evaluation schemes: article-wide and instance-based precision/recall/F-measure. Experimental results show that our system outperforms the baseline systems and state-of-the-art systems under both evaluation schemes. © 2011 AFNLP

关键词： Computer circuits

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Output Feedback Adaptive Robust Learning control of a Class of Nonlinear systems with Periodic Disturbances

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IFAC Proceedings Volumes 2011年第1期44卷 4874-4879页

作者： Xiangbin Liu Zhongsheng Hou Bin Yao Hongye Su Mingxuan Sun Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 P. R. China. (Tel: 86-10-5168-4105) School of Mechanical Engineering Purdue University West Lafayette IN 47907 U.S.A. State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P. R. China College of Information Engineering Zhejiang University of Technology Hangzhou 310032 China

Abstract In this paper, a discontinuous projection-based output feedback adaptive robust learning control (OARLC) scheme is constructed for a class of nonlinear systems in a semi-strict feedback form by incorporating an observer and a dynamic normalization signal. Since only output signal is availab.e for measurement, an observer is firstly designed to provide exponentially convergent estimates of the unmeasurable states. Using certain known basis functions to capture the characteristics of unknown general periodic disturbances, the discontinuous projection type adaptation law can then be used to tune the amplitudes of those basis functions on-line to recover the unknown general periodic disturbances asymptotically. The estimation errors due to the unknown initial states, uncompensated disturbances, and the uncertain nonlinearities are also effectively dealt with via certain robust feedback at each step of the proposed OARLC backstepping design. The resulting controller achieves a guaranteed transient and a prescribed final tracking accuracy for output tracking performance. In addition, when the general periodic disturbances fall within the approximation ranges of the periodic basis functions, asymptotic output tracking performance is achieved as well.

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Seabed Tracking of an Autonomous Underwater Vehicle with Nonlinear Output Regulation

Seabed Tracking of an Autonomous Underwater Vehicle with Non...

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IEEE Conference on Decision and control

作者： A. Adhami-Mirhosseini A. Pedro Aguiar M. J. Yazdanpanah Control and Intelligent Processing Center of Excellence University of Tehran P.O. Box 14395/515 Tehran Iran Lab. of Robotics and Systems in Engineering and Science (LARSyS) Inst. Superior Tecnico (IST) Technical University of Lisbon Av. Rovisco Pais 1049-001 Lisboa Portugal

ISBN: (纸本)9781612848006

This paper proposes a new control algorithm for automatic seabed tracking performed by a low cost autonomous underwater vehicle subject to the fact that the seabed profile is not known in advance. The control design amounts to cast the problem in the framework of nonlinear output regulation theory combined with pseudo-spectral methods to approximate the solutions of the regulator equations. To this end, the seabed tracking problem is re-formulated as a trajectory tracking problem and the reference signal is constructed using Fourier series to approximate the seabed profiles. An interesting feature of this approach is that the combination of the Fourier series with output regulation problem allows to bypass the need to compute explicitly the Fourier coefficients. Stability analysis and simulation results with real seabed data show the effectiveness of the proposed controller.

关键词： Equations Regulators Mathematical model Vehicles Chebyshev approximation Vehicle dynamics

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A Constructive Procedure based on Dynamic Scaling for Adaptive control of Nonlinearly Parameterized Nonlinear systems

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IFAC Proceedings Volumes 2011年第1期44卷 120-125页

作者： Xiangbin Liu Romeo Ortega Hongye Su Jian Chu Advanced Control Systems Laboratory of School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 P. R. China. (Tel: 86-10-5168-4105) Laboratoire des Signaux et Systèmes CNRS–SUPELEC 91192 Gif–sur–Yvette France State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P. R. China

Abstract A new framework to design immersion and invariance adaptive controllers for nonlinearly parameterized, nonlinear systems was recently proposed by the authors. The key step is the construction of a monotone mapping, via a suitable selection of a controller tuning function, which has to satisfy some integrability conditions—this translates into the need to solve a partial differential equation (PDE). In this paper this result is extended providing some answers to the questions of characterization of “monotonizable” systems and solvability of the PDE. First, adding to the design a nonlinear dynamic scaling, we obviate the need to solve the PDE. Second, for the case of factorizable nonlinearities , the following results are established. (i) It is shown that the monotonicity condition is satisfied if a linear matrix inequality is feasible. (ii) Directly verifiable involutivity conditions that ensure the solution of the PDE are presented. (iii) An explicit formula for the required tuning function is given, provided the regressor matrix satisfies some rank conditions. Hence, adding a dynamic scaling, this yields a constructive solution to the problem.

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A technical approach to H2 and H∞ control of a flexible transmission system

A technical approach to H2 and H∞ control of a flexible tra...

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2010 IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2010

作者： Sojoodi, Mahdi Majd, Vahid Johari Intelligent Control Systems Lab. School of Electrical Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781424465033

In this paper, continuous-time H2 and H∞ control techniques for a flexible transmission system are presented. This system has two very oscillatory vibration modes subjected to large load variation, which makes the control of it be difficult. A set of design specification in time domain is to be met by a single controller on each of the three main plant models. Furthermore, the tracking problem in the presence of disturbance and load variation is investigated. Finally, the simulation results for H 2 and H∞ controllers for three different loadings are given and compared. The simulation results show the good performance of the proposed controllers. ©2010 IEEE.

关键词： controllers

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Robust stability analysis of stochastic genetic regulatory networks with discrete and distributed delay in both mRNA and protein dynamics

Robust stability analysis of stochastic genetic regulatory n...

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2010 IEEE International Conference on Cybernetics and intelligent systems, CIS 2010

作者： Salimpour, Alireza Sojoodi, Mahdi Majd, Vahid Johari Intelligent Control Systems Lab. School of Electrical Engineering Tarbiat Modares University Tehran Iran

ISBN: (纸本)9781424464999

This paper addresses robust stability of genetic regulatory networks (GRNs) with stochastic perturbation and discrete and distributed time-varying delays. Aside from discrete delays, there are few results about stability of GRNs with distributed delay. In this paper, noise perturbation and delays have been considered in both mRNA and protein dynamics. Based on Lyapunov functional approach and linear matrix inequality (LMI) techniques, sufficient conditions are established to guarantee the robust stability of genetic regulatory networks. Stability conditions are derived in the form of LMIs, which are very easy to be verified. An example is presented to verify the theoretical results. © 2010 IEEE.

关键词： Linear matrix inequalities

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Review on underactuated finger mechanism

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2011年第SUPPL. 1期42卷 417-422页

作者： Wu, Li-Cheng Yang, Guo-Sheng Sun, Zeng-Qi School of Information Engineering Minzu University of China Beijing 100081 China State Key Lab. of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 China

The researches about underactuated finger mechanism and it's design and analyse theory were reviewed. Current primary unsolved problems was also pointed out. In addition, some important future research directions ... 详细信息

关键词： Robotic finger State of the art Underactuated finger mechanism

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Enhancing web page classification via local co-training

Enhancing web page classification via local co-training

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International Conference on Pattern Recognition

作者： Du, Youtian Guan, Xiaohong Cai, Zhongmin MOE Key Lab. for Intelligent Networks and Network Security State Key Lab. for Manufacturing Systems Engineering Xi'an Jiaotong University 710049 China Center for Intelligent and Networked Systems TNLIST Lab. Tsinghua University China

ISBN: (纸本)9780769541099

In this paper we propose a new multi-view semi-supervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vector outputs to model the relations among examples in a local region on each view, and iteratively refines the dominant local models (i.e. the local models related to the unlab.led examples chosen for enriching the training set) using unlab.led examples by the co-training process. Compared with previous co-training style algorithms, local co-training has two advantages: firstly, it has higher classification precision by introducing local learning;secondly, only the dominant local models need to be updated, which significantly decreases the computational load. Experiments on WebKB and Cora datasets demonstrate that LCT algorithm can effectively exploit unlab.led data to improve the performance of web page classification. © 2010 IEEE.

关键词： Learning algorithms

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Quantitative emergence - A refined approach based on divergence measures

Quantitative emergence - A refined approach based on diverge...

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2010 4th IEEE International Conference on Self-Adaptive and Self-Organizing systems, SASO 2010

作者： Fisch, Dominik Jänicke, Martin Sick, Bernhard Müller-Schloer, Christian Computationally Intelligent Systems Lab. University of Passau Passau Germany Institute of Systems Engineering Leibniz University Hanover Hanover Germany

ISBN: (纸本)9780769542324

The article addresses the phenomenon of emergence from a technical viewpoint. A technical system exhibits emergence when it has certain kinds of properties or qualities that are irreducible in the sense that they are not traceable to the constituent parts of the system. In particular, we show how emergence in technical systems can be detected and measured gradually using techniques from the field of probability theory and information theory. To detect or measure emergence we observe the system and extract characteristic attributes from those observations. As an extension of earlier work in the field, we propose emergence measures that are well-suited for continuous attributes (or hybrid attribute sets) using either non-parametric or model-based probability density estimation techniques. We also replace the known entropy-based emergence measures by divergence measures for probability densities (e.g., the Kullback-Leibler divergence or the Hellinger distance). We discuss advantages and drawbacks of these measures by means of some simulation experiments using artificial data sets and a real-world data set from the field of intrusion detection. © 2010 IEEE.

关键词： Intrusion detection

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Reports of the AAAI 2010 fall symposia

Reports of the AAAI 2010 fall symposia

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作者： Azevedo, Roger Biswas, Gautam Bohus, Dan Carmichael, Ted Finlayson, Mark A. Hadzikadic, Mirsad Havasi, Catherine Horvitz, Eric Kanda, Takayuki Koyejo, Oluwasanmi Lawless, William F. Lenat, Doug Meneguzzi, Felipe Mutlu, Bilge Oh, Jean Pirrone, Roberto Raux, Antoine Sofge, Donald A. Sukthankar, Gita Van Durme, Benjamin Yorke-Smith, Neil Department of Educational and Counseling Psychology McGill University Canada Center for Intelligent Systems Vanderbilt University United States Microsoft Research Redmond United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Media Lab. Massachusetts Institute of Technology United States ATR Intelligent Robotics and Communication Laboratories Kyoto Japan Department of Electrical and Computer Engineering University of Texas Austin United States Department of Mathematics Paine College Augusta GA United States Cycorp Austin TX United States Robotics Institute Carnegie Mellon University United States Department of Computer Sciences University of Wisconsin Madison United States University of Palermo Italy Honda Research Institute United States Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington DC United States Department of Electrical Engineering and Computer Science University of Central Florida United States Department of Computer Science Johns Hopkins University United States American University of Beirut Lebanon SRI International's Artificial Intelligence Center United States

The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational systems, Commonsense Knowledge, Complex Adaptive systems: Resilience, Robustness, and Evolvability, Computational Models of Narrative, Dialog with Robots, Manifold Learning and Its Applications, Proactive Assistant Agents and Quantum Informatics for Cognitive, Social, and Semantic Processes. Cognitive and Metacognitive Educational systems aimed to provide a comprehensive definition of metacognitive educational systems that is inclusive of the theoretical, architectural, and educational aspects of this field. The AAAI Commonsense Knowledge Fall Symposium had the goal of bringing together the diverse elements of this community whose work benefits from or contributes to the representation of general knowledge about the world. One of the specific goals of Proactive symposium was to gather the researchers from various projects in assistant agents to share their wisdom in retrospect.

关键词： Semantics

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