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Implementing and Improving a method for non-invasive elicitation of probabilities for bayesian networks 07

Implementing and Improving a method for non-invasive elicita...

International Conference on computer Systems and Technologies and Workshop for PhD Students in Computing, CompSysTech '07

作者： De Jongh, Martinus Druzdzel, Marek Rothkrantz, Leon Faculty of Electrical Engineering Mathematics and Computer Science Man-Machine Interaction Group Delft University of Technology Delft Netherlands Decision Systems Laboratory School of Information Sciences and Intelligent Systems Program University of Pittsburgh Pittsburgh PA United States

ISBN: (纸本)9789549641509

Knowledge elicitation is difficult for expert systems that are based on probability theory. The elicitation of probabilities for a probabilistic model requires a lot of time and interaction between the knowledge engineer and the expert. Druzdzel and van der Gaag [5] have proposed a theoretical framework that would allow the use of multiple types of probabilistic information for elicitation of Bayesian networks. This framework has been used as a starting point for the implementation of a non-invasive elication method. © 2007 ACM.

关键词： Linear programming

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Fusion of communication content and broadcast content

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Journal of the National Institute of information and Communications technology 2007年第3期54卷 63-70页

作者： Miyamori, Hisashi Kumamoto, Tadahiko Nadamoto, Akiyo Sumi, Kaoru Nakamura, Satoshi Ma, Qiang Minakuchi, Mitsuru Tanaka, Katsumi Knowledge Clustered Group Knowledge Creating Communication Research Center Language Grid Project Natural Language Processing Group Knowledge Creating Communication Research Center Graduate School of Informatics Kyoto Universiry Universal City Group Knowledge Creating Communication Research Center Faculty of Information and Computer Science Chiba Institute of Technology Ubiquitous Intelligence Technology Group Service Platforms Research Laboratories NEC

This paper explains an overview of research results of "Fusion of Communication Content and Broadcast Content", one of the two main pillars of "Content Fusion" research project conducted at the Interactive Communication and Media Contents Group of NICT. "Fusion of Communication and Broadcast" is a conventional keyword which means technology of converging communication and broadcasting networks as an infrastructure, whereas "Fusion of Communication and Broadcast Content" represents a technology of converging Web content and TV programs at content level. Fundamental technologies and model systems were established which can efficiently utilize Internet and TV programs without complicated operations even for people who are not familiar with computer operation, such as efficient methods of accessing information and utilization methods of newly added value of information, towards the age of multitude content of TV programs and Web content available in daily lives.

关键词： information retrieval

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An efficient quantum key distribution protocol with orthogonal product states

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Chinese Physics B 2007年第8期16卷 2215-2218页

作者：杨宇光温巧燕 College of Computer Science and Technology Beijing University of Technology Beijing 100022 China State Key Laboratory of Information Security (Graduate School of Chinese Academy of Sciences) Beijing 100022 China School of Science Beijing University of Posts and Telecommunications Beijing 100876 China

An efficient quantum key distribution （QKD） protocol with orthogonal product states in the 3 3 Hilbert space is presented. The sender, Alice, disorders the orthogonal product state sequence and sends it to Bob. After Alice has published the matching information of the particle sequence, Bob recovers the correct correspondences and makes an orthogonal measurement on the orthogonal product states to obtain the information sent by Alice. Finally, security analysis is also made.

关键词： quantum key distribution orthogonal product state orthogonal basis measurement

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Interactive musical editing system to support human errors and offer personal preferences for an automatic piano - information system regarding a musical sign

Interactive musical editing system to support human errors a...

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作者： Chigoi, Yuichi Hayashi, Eiji Graduate School of Computer Science and System Engineering Kyushu Institute of Technology 680-4 Iizuka City Fukuoka 820-8502 Japan Department of Mechanical Information Science and Technology Kyushu Institute of Technology 680-4 Iizuka City Fukuoka 820-8502 Japan

ISBN: (纸本)9784990288013

We have developed an automatic piano that can accurately control the motion of both the keys and the pedal based on performance data that a user has inputted for a particular piece of music. However, this system cannot sight read a new piece of music, as in the simulation of a human being's expressive performance. Therefore, we developed a program that can memorize and use knowledge databases and user preferences concerning the interpretation of a piece of music. We analyzed performance data of performances of highly skilled pianists in order to observe performance tendencies, and found that phrases of similar patterns existing in the same composition were performed with similar expression by the same pianist. Moreover, it was found that the pattern of notes in the score sometimes influence how the expression emerges. Therefore, we developed a system for inferring phrase expression from the patterns of the notes. We evaluated the system by comparing performance information inferred from the databases with the pianist's actual performance. Â©ISAROB 2007.

关键词： Music

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Generation of Pedal Operation Patterns of Individual Drivers in Car-Following for Personalized Cruise Control

Generation of Pedal Operation Patterns of Individual Drivers...

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IEEE Symposium on Intelligent Vehicle

作者： Yoshihiro Nishiwaki Chiyomi Miyajima Norihide Kitaoka Katsunobu Itou Kazuya Takeda Graduate School of Information Science University of Nagoya Japan Faculty of Computer and Information Sciences Hosei University Japan

This paper presents a method to generate car-following patterns for individual drivers. We assume that driving is a recursive process. A driver recognizes a road environment such as velocity and following distance and adjusts gas and brake pedal positions. A vehicle status changes according to the driver's operation and the road environment changes according to the vehicle status. Driving patterns of each driver are modeled with a Gaussian mixture model (GMM), which is trained as a joint probability distribution of following distance, velocity, pedal position signals and their dynamics. Gas and brake pedal operation patterns are generated from the GMMs in a maximum likelihood criterion so that the conditional probability is maximized for a given environment i.e., following distance and velocity. Experimental results for a driving simulator show that car-following patterns generated from GMMs for three different drivers maintain their individual driving characteristics.

关键词： Vehicle driving Vehicle dynamics Acceleration Signal generators Road vehicles Maximum likelihood estimation Road safety Intelligent transportation systems Intelligent vehicles Probability distribution

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Integrated Environment of Simulation and Real-Time Control Experiment for Control system

Integrated Environment of Simulation and Real-Time Control E...

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International Conference on Mechatronics (ICM)

作者： Kentaro Yano Masanobu Koga Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

This paper presents the methods which make a design process of control system efficient. The real-time control framework makes writing real-time control programs easy. Real-time control programs are generated from simulation program automatically. The idea of an object model and the factory method pattern are used for automatic generation of real-time control program. Separation of platform dependent parts makes non real-time parts can be independent from platform. We develop a platform integrated environment of the simulation and the real-time control for control system using above methods.

关键词： Real time systems Control system synthesis Automatic control Automatic generation control Computational modeling Process control Process design HTML Mechatronics computer simulation

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Interpreting cabinet approval ratings by neural networks

Interpreting cabinet approval ratings by neural networks

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IASTED International Conference on Artificial Intelligence and Applications, AIA 2007

作者： Kamimura, Ryotaro Yoshida, Fumihiko Kitajima, Ryozo Information Science Laboratory Information Technology Center Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan Department of Media Studies Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan Graduate Program in Computer Sciences Tokai University 1117 Kitakaname Hiratsuka Kanagawa 259-1292 Japan

ISBN: (纸本)9780889866317

In this paper, we try to estimate Japan's cabinet approval ratings by using neural networks. In addition, we try to extract the important features in input patterns. This is the first attempt to use neural networks and to interpret the mechanism of inference for approval estimation in a comprehensive way. Experimental results show that neural networks have much better performance than that obtained by the standard regression analysis in terms of training and testing errors. The information loss analysis reveals that the first variable, that is, the previous ratings should play the most important role in inference. Though the experimental result here shown is a preliminary one, it certainly suggests a possibility of the automatic inference of cabinet approval ratings.

关键词： Feature extraction

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Real-time recognition of traffic signs using opponent color filters

Real-time recognition of traffic signs using opponent color ...

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14th World Congress on Intelligent Transport Systems, ITS 2007

作者： Baba, Kyoko Hirai, Yuzo Master's Program in Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba 1-1-1 Ten-nodai Tsukuba Ibaraki 305-8573 Japan

ISBN: (纸本)9781617387777

In order to assist driver's vision, a real-time recognition system for traffic signs is proposed. After detecting sign candidates, biologically inspired opponent-color filters are used to extract symbol parts of signs. After normalizing the size of symbol, structural features are calculated to identify the sign. 5572 segmented images are used to design the algorithm. In a real-time system, the same sign in a sequence of frames is tracked, and a majority vote is used to integrate the recognition results. For test data, 93.8% recall rate and 99.3% precision rate could be attained. In-vehicle experiment also showed high recall and precision rates.

关键词： Traffic signs

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An Analysis of Government Subsidies Enterprise Training Based On CDC Algorithm

An Analysis of Government Subsidies Enterprise Training Base...

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The Sixth International Conference on information and Management sciences

作者： Menz-Ru Huang Ruey-Gwo Chung Tung-Shou Chen Hsuan-Yi Cheng Yung-Ching Lin Department of Industrial Education and Technology National Changhua University of Education 500 Taiwan China Department of Industrial Education and Technology National Changhua University of Education 500 Taiwan China Graduate School of Computer Science and Information Technology National Taichung Institute of Technology Graduate School of Computer Science and Information Technology National Taichung Institute of Technology Graduate School of Computer Science and Information Technology National Taichung Institute of Technology

Taiwan government subsidizes more than 10 billion funds to enterprises every year for on-the-job training The main goal is to guide enterprise to provide on-the-job training for employees after obtains the suitable subsidy fund,and improves quality of work ***,after various enterprises receive the subsidy,whether can really provide effective training which fulfills the market demand is worth to *** this research using data mining method to analysis database from Bureau of Employment Vocational Training(BEVT)in Taiwan base on Combined Density-and Constraint-based Algorithm (CDC).Since CDC Algorithm has the characteristic which can reduce the effect of noise distortion and outliers,it can be more accurate and faster to analysis the data in order to find the relationship between the amount of government subsidy and the effectiveness of on-the-job *** Algorithm basically has two *** division stage,it uses the concept of data density to clustering the data,and isolates the noise distortion and outliers simultaneously in order to discover the cluster centroid,then take the k-mean cluster center as the concept,take larger cluster as the center, merges into smaller clusters with limited mean error,finally completes the calculation *** finding shows significant positive correlation between the amount of government subsidy and the return on investment of training. Since enterprise has links training investment to organizational performance,therefore,it will also receive more government *** if the enterprise continue conduct structure training program,the enterprise will have more complete quality training environment to continuously re-invest in and upgrade the competence of their human resources.

关键词： CDC on-the-job Training K-means Clustering algorithm

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On an Analysis of Pass Play in a Virtual Ball Game

On an Analysis of Pass Play in a Virtual Ball Game

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International Conference on Cyberworlds

作者： Kazufumi Osato Tatsuhiro Yonekura Yoshihiro Kawano Dai Hanawa Graduate School of Science & Engineering Ibaraki University Hitachi Ibaraki Japan Department of Computer and Information Science Ibaraki University Hitachi Ibaraki Japan Faculty of Science and Technology Seikei University Musashino Tokyo Japan

In the virtual ball game, such as soccer, football, basketball and hockey etc. in a virtual space, "pass" plays have a significant meaning for players to build up their games. Goodness of a passes course and its velocity is continuously varied, both spatially and temporarily by all motions of ally player avatars and opponent player avatars attending in the game. Because of this, a significant pass between the avatars may not easily be able to be analyzed and generated by the computer systems in real-time. In this paper, we propose a new algorithm that can realize this computation in real-time. Concretely, a real-time detection of a "space" or an "open space" for every avatar by using the idea of "AtoZ (Allocated Topographical Zone)" that Kawano et al., have already proposed. Based on this idea, we compute the reachable pass vector to any avatar in the game. Moreover, the space where a player can receive a pass given by the pass vector, prior to any other player, is defined as an "exclusively reachable pass zone" for the receiver, and is able to be computed by the algorithm.

关键词： Avatars Humans information analysis information science Real time systems Virtual environment Biological system modeling Deformable models Algorithm design and analysis Man machine systems

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