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Importance sampling for general hybrid Bayesian networks

Importance sampling for general hybrid Bayesian networks

引用

11th International Conference on Artificial Intelligence and Statistics, AISTATS 2007

作者： Yuan, Changhe Druzdzel, Marek J. Department of Computer Science and Engineering Mississippi State University Mississippi State MS 39762 United States Decision Systems Laboratory School of Information Sciences and Intelligent Systems Program University of Pittsburgh Pittsburgh PA 15260 United States

Some real problems are more naturally modeled by hybrid Bayesian networks that consist of mixtures of continuous and discrete variables with their interactions described by equations and continuous probability distributions. However, inference in such general hybrid models is hard. Therefore, existing approaches either only deal with special instances, such as Conditional Linear Gaussians (CLGs), or approximate a general model with a restricted version and then perform inference on the simpler model. However, results thus obtained highly depend on the quality of the approximations. This paper describes an importance sampling-based algorithm that directly deals with hybrid Bayesian networks constructed in the most general settings and guarantees to converge to the correct answers given enough time.

关键词： Importance sampling

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Poly-silicon quantum dot single electron transistors

Poly-silicon quantum dot single electron transistors

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International Symposium Semiconductor Device Research (ISDRS)

作者： Kwon-Chil Kang Sangwoo Kang Hong Sun Yang Seung-hwan Song Jinho Kim Jong Duk Lee Byung-Gook Park Interdisciplinary Program in Nano-Science and Technology And School of Electrical Engineering and Computer Science Seoul National University Seoul South Korea

For room temperature operation and reproducibility of single electron transistors (SETs), we propose a fabrication method of an SET with a self-aligned quantum dot. The quantum dot is formed by selective etch of a silicon nanowire on a planarized surface and subsequent deposition and etch-back of poly-silicon. The device is named as PQD-SET, i.e., poly-silicon quantum dot SET. PQD-SET shows clear Coulomb oscillation at room temperature.

关键词： Quantum dots Single electron transistors Fabrication Etching Silicon Electron devices Educational institutions Quantum computing Planarization Plasma applications

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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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Implementing machining of fiber reinforced polymer composites to manufacturing courses in 2 year and 4 year programs

Implementing machining of fiber reinforced polymer composite...

引用

114th Annual ASEE Conference and Exposition, 2007

作者： Kim, Dave Flaman, Michael Washington State University-Vancouver United States School of Engineering and Computer Science Washington State University Vancouver United States Portland Community College United States Machine Manufacturing Technology Program Portland Community College United States

Fiber reinforced polymer (FRP) composites offer very high strength-to-weight and stiffness-to-weight ratios. As a result, the aerospace industry is making a major effort to incorporate an increasing number of composite materials into various components and structures. However, machining of FRP composites is one of the most difficult and least understood areas in manufacturing technology. Thus, it is necessary to include machining and tool regimes of FRP composites into manufacturing curricula, especially at schools in regions of the country where significant aerospace industry exist. This new topic has been applied into various programs such as Machine Manufacturing Technology program at Portland Community College (PCC) and Mechanical engineering program at Washington State University Vancouver (WSUV). This report focuses on all aspects of these newly developed course materials including course content and student feedback. © American Society for engineering Education, 2007.

关键词： Fiber reinforced plastics

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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...

引用

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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Evaluating the efficiency of candidates for graduate study via data envelopment analysis

Evaluating the efficiency of candidates for graduate study v...

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114th Annual ASEE Conference and Exposition, 2007

作者： Kongar, Elif Sobh, Tarek University of Bridgeport United States Northeastern University United States Center for Industrial Ecology Yale University United States Scientific Research Society United States Sigma Xi United States Industrial Engineering Honor Society United States Alpha Pi Mu Phi Beta Delta Honor Society United States Phi Kappa Phi Honor Society United States School of Engineering Dept. of Computer Science Computer Engineering Mechanical Engineering and Electrical Engineering Laboratory University of Bridgeport CT United States Computer Society Robotics and Automation Society United States United States School of Engineering University of Bridgeport Bridgeport CT 06604 United States

In this paper, we present a DEA approach to measure the relative efficiency of applicants to the graduate programs in engineering. The proposed performance criteria are determined depending on the current evaluation criteria in the school of engineering at the University of Bridgeport. The steps and implementation of the proposed methodology are explained with the help of a numerical example for the Fall 2004 semester. © American Society for engineering Education, 2007.

关键词： engineering education

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Decision fusion of circulating markers for breast cancer detection in premenopausal women

Decision fusion of circulating markers for breast cancer det...

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7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

作者： Jesneck, Jonathan L. Mukherjee, Sayan Nolte, Loren W. Lokshin, Anna E. Marks, Jeffrey R. Lo, Joseph Department of Biomedical Engineering Department of Statistical Science Computational Biology and Bioinformatics Program Duke Advanced Imaging Labs. Institute for Genome Sciences and Policy Department of Computer Science Duke University Department of Electrical and Computer Engineering Division of Hematology/Oncology University of Pittsburgh School of Medicine University of Pittsburgh Cancer Institute Pittsburgh PA 15213 United States Department of Experimental Surgery Duke University Medical Center Medical Physics Graduate Program Duke University Durham NC 27708 United States

ISBN: (纸本)1424415098

Current mammographic screeningfor breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Because the data set was very noisy and contained only weak features, we used a classifier designed for noisy data: decision fusion. Decision fusion outperformed both a support vector machine (SVM) and linear regression with forward stepwise feature selection on all three two-class classification tasks: normal tissue vs. cancer, normal tissue vs. benign lesions, and benign lesions vs. cancer. Decision fusion detected cancer moderately well (AUC=0.84 on normal vs. cancer), demonstrating promise as a screening tool. Decision fusion also detected benign lesions similarly well (AUC=0.83 on normal vs. benign lesions) and was the only classifier to achieve any success in separating benign from malignant lesions (AUC=0.64 on benign vs. cancer). The classification results suggest that the assayed proteins are more indicative of a secondary effect, such as immune response, rather than specific for breast cancer. In conclusion, the decision fusion classifier demonstrated some promise in detecting breast lesions and outperformed other classifiers, especially for the very noisy classification problem of distinguishing benign from malignant lesions. ©2007 IEEE.

关键词： Tissue

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114th Annual ASEE Conference and Exposition, 2007

作者： Kansaku, Claude Kehr, Linda Lanier, Catherine Oregon Institute of Technology United States Department of Computer Engineering Technology OIT LaunchOIT BalloonSat Program Edge of Space Hign-altitude Balloon Program Klamath County School District United States Ferguson Elementary School Klamath Falls OR United States Edge of Space Program Oregon Department of Education's Science Content and Assessment Panel United States Oregon NASA Space Grant Consortium United States

A university that develops a program with the capability to launch, chase, and recover helium-filled high-altitude balloon satellites (BalloonSats) enables a number of undergraduate research possibilities. The program faculty and the undergraduates served can also form the engine of an exciting and effective vehicle to perform K-12 outreach related to science, technology, engineering, and math (STEM). Nearly identical to weather balloons, low-weight BalloonSats can affordably carry student experiments literally to the edge of space. When the outreach effort is extended and a partnership between the university program and a K-12 classroom forms, the outreach can be transformed from a series of "fire and forget" activities into a genuine, standards-based, educational component. This paper describes the collaboration between Oregon Institute of Technology's (OIT's) BalloonSat program (LaunchOIT) and Ferguson Elementary school in Klamath Falls, Oregon (Ferguson school). LaunchOIT is an affiliate of Oregon NASA Space Grant Consortium's1(OSGCs) "LaunchOregon" BalloonSat program. The paper presents some history relating to LaunchOIT, the enabling underpinnings of the OSGC, the OIT-Ferguson school collaboration structure (including some data related to student participants and performance), the benefits of the program collaboration, and how the program looks to sustain itself, particularly considering the auspices of NASA's educational mission as exercised through the National Space Grant College and Fellowship program2(Space Grant) efforts. © American Society for engineering Education, 2007.

关键词： Meteorological balloons

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Probabilistic Strategies for Pursuit in Cluttered Environments with Multiple Robots

Probabilistic Strategies for Pursuit in Cluttered Environmen...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Geoffrey Hollinger Athanasios Kehagias Sanjiv Singh The Robotics Institute School of Computer Science Carnegie Mellon University Pittsburgh PA USA Division of Mathematics Department of Math. Phys. and Computer Science s Faculty of Engineering Aristotle University of Thessaloniki Thessaloniki Greece

In this paper, we describe a method for coordinating multiple robots in a pursuit-evasion domain. We examine the problem of multiple robotic pursuers attempting to locate a non-adversarial mobile evader in an indoor environment. Unlike many other approaches to this problem, our method seeks to minimize expected time of capture rather than guaranteeing capture. This allows us to examine the performance of our algorithm in complex and cluttered environments where guaranteed capture is difficult or impossible with limited pursuers. We present a probabilistic formulation of the problem, discretize the environment, and define cost heuristics for use in planning. We then propose a scalable algorithm using an entropy cost heuristic that searches possible movement paths to determine coordination strategies for the robotic pursuers. We present simulated results describing the performance of our algorithm against state of the art alternatives in a complex office environment. Our algorithm successfully reduces capture time with limited pursuers in an environment beyond the scope of many other approaches.

关键词： Robot kinematics robotics and automation Costs Robot sensing systems Mobile robots Indoor environments Entropy Humans Game theory Environmental economics

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Correcting base-assignment errors in repeat regions of shotgun assembly

Correcting base-assignment errors in repeat regions of shotg...

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作者： Zhi, Degui Keich, Uri Pevzner, Pavel Heber, Steffen Tang, Haixu Bioinformatics Program University of California San Diego San Diego CA 92093 Department of Computer Science 4130 Upson Hall Cornell University Ithaca NY 14853 Department of Computer Science and Engineering University of California San Diego San Diego CA 92093 North Carolina State University Raleigh NC 27695-7566 School of Informatics Center for Genomics and Bioinformatics Indiana University Bloomington IN 47408

Accurate base-assignment in repeat regions of a whole genome shotgun assembly is an unsolved problem. Since reads in repeat regions cannot be easily attributed to a unique location in the genome, current assemblers may place these reads arbitrarily. As a result, the base-assignment error rate in repeats is likely to be much higher than that in the rest of the genome. We developed an iterative algorithm, EULER-AIR, that is able to correct base-assignment errors in finished genome sequences in public databases. The Wolbachia genome is among the best finished genomes. Using this genome project as an example, we demonstrated that EULER-AIR can 1) discover and correct base-assignment errors, 2) provide accurate read assignments, 3) utilize finishing reads for accurate base-assignment and 4) provide guidance for designing finishing experiments. In the genome of Wolbachia, EULER-AIR found 16 positions with ambiguous base-assignment and two positions with erroneous bases. Besides Wolbachia, many other genome sequencing projects have significantly fewer finishing reads and, hence, are likely to contain more base-assignment errors in repeats. We demonstrate that EULER-AIR is a software tool that can be used to find and correct base-assignment errors in a genome assembly project. © 2007 IEEE.

关键词： Error analysis

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