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检索条件"任意字段=6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2015"

共 237 条记录，以下是161-170 订阅

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6th international conference on Design Science Research in Information Systems and Technology, DESRIST 2011

6th International Conference on Design Science Research in I...

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6th international conference on Design Science Research in Information Systems and Technology, DESRIST 2011

ISBN: (纸本)9783642206320

the proceedings contain 34 papers. the special focus in this conference is on Design Science Research in Information Systems and Technology,. the topics include: Design science research demonstrators for punctuation – the establishment of a service ecosystem;Extending prior research with design science research: Two patterns for DSRIS project generation;inductive design of maturity models: Applying the rasch algorithm for design science research;pattern-based approach for designing with diagrammatic and propositional conceptual models;enacted software development routines based on waterfall and agile software methods: Socio-technical event sequence study;e-wallet prototypes;a fitness-utility model for design science research;interface design elements for anti-phishing systems;experimental evaluation of peer endorsement system artifacts using best-of-breed ideals – Effects of online decision confidence on post-choice regret;forms of reasoning in the design science research process;managing the future—Six guidelines for designing environmental scanning systems;utilizing user-group characteristics to improve acceptance of management support systems—State of the art and six design guidelines;how service orientation can improve the flexibility of executive information systems—An architecture reworked from a business perspective;How IT-based co-creation can provide small banks access to the financial market – A prototype development from a design science research perspective;service extraction from operator procedures in process industries;reconsidering modular design rules in a dynamic service context;Design science in service research: A framework-based review of IT artifacts in Germany;service orienting the swedish vaccination recommendation activity with the business rules centric digital service vacsam;enhancing design science through empirical knowledge: Framework and application.

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Optimizing production and distribution problem for agricultural products with type-2 fuzzy variables 6th

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6th international conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Bai, Xuejie Xu, Lijun College of Science Agricultural University of Hebei Baoding Hebei071001 China College of Management Hebei University Baoding Hebei071002 China Bureau of Animal Husbandry and Fisheries of Baoding Baoding Hebei071005 China

ISBN: (纸本)9783319204710

this paper focuses on generating the optimal solutions of the production and distribution for agricultural products under fuzzy environment, where the crop’s yield is characterized by type-2 fuzzy variable with known type-2 possibility distributions. In order to formulate the problem within the framework of the credibility optimization, we employ the possibility value-at-risk (VaR) reduction method to the type-2 fuzzy yield, and then reformulate the multi-fold fuzzy production and distribution problem as the chance constrained programming model. On the basis of the critical value formula for possibility value-at-risk reduced fuzzy variable, original fuzzy production and distribution model is converted into its equivalent parametric mixed integer programming form, which can be solved by general-purpose software. Numerical experiment is implemented to highlight the application of the fuzzy production and distribution model as well as the effectiveness of the solution method. © Springer international Publishing Switzerland 2015.

关键词： Numerical methods

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HmmUFOtu: An HMM and Phylogenetic Placement based Ultra-fast Taxonomic Assignment and OTU Picking Tool for Microbiome Amplicon Sequencing Studies 18

HmmUFOtu: An HMM and Phylogenetic Placement based Ultra-fast...

引用

9th ACM international conference on bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)

作者： Zheng, Qi Meisel, Jacquelyn Bartow-McKenney, Casey Grice, Elizabeth A. Univ Penn Perelman Sch Med Dept Dermatol Philadelphia PA 19104 USA Univ Penn Genom & Computat Biol Program Dept Dermatol Philadelphia PA 19104 USA

ISBN: (纸本)9781450357944

Over the last decade, joint advances in next-generation sequencing technology and bioinformatics pipelines have dramatically improved our understanding of host-associated and environmental microbiota. Standard microbiome community analysis typically involves amplicon sequencing of the prokaryotic 16S rRNA gene. these sequences are then clustered into operational taxonomic units (OTUs) for downstream diversity analyses, but also to reduce computational burden and allow for rapid analysis of datasets. Taxonomy is then assigned to all reads of an OTU, based on the assignment of a representative read. Although straightforward in principle, present methods often rely on heuristics while constructing (or "picking") OTUs to avoid computationally expensive algorithms, and ignore the prior knowledge of microbial phylogeny to further reduce the computational complexity. Here, we present HmmUFOtu, a novel tool for processing 16S rRNA sequences that addresses major limitations of current OTU picking and taxonomy assignment methods. HmmUFOtu relies on rapid per-read phylogenetic placement, followed by OTU picking and taxonomic assignment based on the phylogeny of known taxa. By benchmarking on simulated, mock community, and real datasets, we show that HmmUFOtu achieves high assignment accuracy, sensitivity, specificity and precision, even at species-level resolution. Compared to standard pipelines, HmmUFOtu more accurately recapitulates community diversity and composition. HmmUFOtu can perform taxonomic assignment in a species-resolution reference tree with ~ 200,000 nodes for 1 million 16S sequencing reads within 6 hours on a modest Linux workstation with 16 processors and 32 GB RAM. HmmUFOtu is written in C++98 and freely available at https://***/Grice-Lab/HmmUFOtu/.

关键词： Microbiome 16S rRNA gene FM-index HMM profile alignment phylogenetic placement taxonomic assignment Operational Taxonomic Unit Dirichlet models DNA substitution models Discrete Gamma models among-site rate variation

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Generalized image models and their application as statistical models of images

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6th international conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003

作者： Ballester, Miguel Ángel González Pennec, Xavier Ayache, Nicholas Epidaure Project INRIA Sophia Antipolis France

ISBN: (纸本)3540204644

A generalized image model (GIM) is presented. Images are represented as sets of 4-dimensional sites combining position and intensity information, as well as their associated uncertainty and joint variation. this model seamlessly allows for the representation of both images and statistical models, as well as other representations such as landmarks or meshes. A GIM-based registration method aimed at the construction and application of statistical models of images is proposed. A procedure based on the iterative closest point (ICP) algorithm is modified to deal with features other than position and to integrate statistical information. Furthermore, we modify the ICP framework by using a Kalman filter to efficiently compute the transformation. the initialization and update of the statistical model are also described. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Iterative methods

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the Generating Function Approach for Peptide Identification in Spectral Networks

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18th Annual international conference on Research in Computational Molecular Biology (RECOMB)

作者： Guthals, Adrian Boucher, Christina Bandeira, Nuno Univ Calif San Diego Dept Comp Sci & Engn La Jolla CA 92093 USA Univ Calif San Diego Skaggs Sch Pharm & Pharmaceut Sci La Jolla CA 92093 USA Colorado State Univ Dept Comp Sci Ft Collins CO 80523 USA

ISBN: (纸本)9783319052687

Tandem mass (MS/MS) spectrometry has become the method of choice for protein identification and has launched a quest for the identification of every translated protein and peptide. However, computational developments have lagged behind the pace of modern data acquisition protocols and have become a major bottleneck in proteomics analysis of complex samples. As it stands today, attempts to identify MS/MS spectra against large databases (e.g., the human microbiome or 6-frame translation of the human genome) face a search space that is 10-100 times larger than the human proteome, where it becomes increasingly challenging to separate between true and false peptide matches. As a result, the sensitivity of current state-of-the-art database search methods drops by nearly 38% to such low identification rates that almost 90% of all MS/MS spectra are left as unidentified. We address this problem by extending the generating function approach to rigorously compute the joint spectral probability of multiple spectra being matched to peptides with overlapping sequences, thus enabling the confident assignment of higher significance to overlapping peptide-spectrum matches (PSMs). We find that these joint spectral probabilities can be several orders of magnitude more significant than individual PSMs, even in the ideal case when perfect separation between signal and noise peaks could be achieved per individual MS/MS spectrum. After benchmarking this approach on a typical lysate MS/MS dataset, we show that the proposed intersecting spectral probabilities for spectra from overlapping peptides improve peptide identification by 30-62%.

关键词： databases statistical models probability algorithms computational molecular biology

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On the computational complexity of positive linear functionals on C[0;1] 6th

On the computational complexity of positive linear functiona...

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6th international conference on Mathematical Aspects of Computer and Information Sciences, MACIS 2015

作者： Férée, Hugo Ziegler, Martin Department of Mathematics TU Darmstadt Schlossgartenstr. 7 Darmstadt64289 Germany Université de Lorraine LORIA UMR 7503 Vandœuvre-lès-Nancy54506 France Inria Villers-lès-Nancy54600 France CNRS LORIA UMR 7503 Vandœuvre-lès-Nancy54506 France KAIST School of Computing 291 Daehak-ro Daejeon34141 Korea Republic of

ISBN: (纸本)9783319328584

the Lebesgue integration has been related to polynomial counting complexity in several ways, even when restricted to smooth functions. We prove analogue results for the integration operator associated with the Cantor measure as well as a more general second-order #P#P-hardness criterion for such operators. We also give a simple criterion for relative polynomial time complexity and obtain a better understanding of the complexity of integration operators using the Lebesgue decomposition theorem. © Springer international Publishing Switzerland 2016.

关键词： Domain decomposition methods

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6th IFIP TC 6 international Workshop on Self-Organizing Systems, IWSOS 2012

6th IFIP TC 6 International Workshop on Self-Organizing Syst...

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6th IFIP TC 6 internationalWorkshop on Self-Organizing Systems, IWSOS 2012

ISBN: (纸本)9783642285820

the proceedings contain 41 papers. the special focus in this conference is on Lincei Session and Geodetic Data Analysis. the topics include: Global reference systems;noise analysis of continuous GPS time series of selected EPN stations to investigate variations in stability of monument types;multivariate integer cycle-slip resolution;theory of earth rotation variations;variable seasonal and subseasonal oscillations in sea level anomaly data and their impact on prediction accuracy;analysis of time series noise;state of the art and new developments of a third way to GNSS seismology;on the spatial resolution of homogeneous isotropic filters on the sphere;on time-variable seasonal signals: comparison of SSA and Kalman filtering based approach;rosborough representation in satellite gravimetry;combining different types of gravity observations in regional gravity modeling in spherical radial basis functions;rigorous interpolation of atmospheric state parameters for ray-traced tropospheric delays;comparison of different techniques for tropospheric wet delay retrieval over south America and surrounding oceans;insights from lumped coefficients;on an iterative approach to solving the nonlinear satellite-fixed geodetic boundary-value problem;a remark on the computation of the gravitational potential of masses with linearly varying density;reference station weighting and frame optimality in minimally constrained networks;methodology and case studies;principles and applications of polarimetric SAR tomography for the characterization of complex environments and an overview of adjustment methods for mixed additive and multiplicative random error models.

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Spatial-Temporal Variation and Future Changing Trend of NDVI in the Pearl River Basin from 1982 to 2015 6th

Spatial-Temporal Variation and Future Changing Trend of NDVI...

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6th international conference on Human Centered Computing, HCC 2020

作者： He, Caixia Ma, Bingxin Jing, Juanli Xu, Yong Dou, Shiqing College of Geomatics and Geoinformation Guilin University of Technology Guilin Guangxi541006 China Guangxi Key Laboratory of Spatial Information and Geomatics Guilin Guangxi541006 China

ISBN: (纸本)9783030706258

Based on the GIMMS NDVI3g data from 1982 to 2015, this paper uses trend analysis, Mann-Kendall test and R/S analysis methods to explore the spatial- temporal variation and future trends of NDVI in the Pearl River Basin, in order to provide basis for the improvement of ecological problems in the area. the results show that: (1) In terms of time, the NDVI of the Pearl River Basin showed a fluctuating upward trend as a whole from 1982 to 2015, and it was extremely significant (P 0.75 accounts for 51.71%, indicating that the vegetation coverage will continue to increase in the future. © 2021, Springer Nature Switzerland AG.

关键词： Rivers

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6th international conference on Advances in Swarm and Computational Intelligence, ICSI 2015

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6th international conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

ISBN: (纸本)9783319204710

the proceedings contain 52 papers. the special focus in this conference is on Neural Networks, Fuzzy methods and Data Mining Approaches. the topics include: Apply stacked auto-encoder to spam detection;interval-valued intuitionistic fuzzy prioritized ordered weighted averaging operator and its application in threat assessment;optimizing production and distribution problem for agricultural products with type-2 fuzzy variables;a new evolutionary fuzzy instance-based learning approach;temporal pattern of human post and interaction behavior in qzone;an empirical analysis on temporal pattern of credit card trade;discovering traffic outlier causal relationship based on anomalous dag;text classification based on paragraph distributed representation and extreme learning machine;network comments data mining-based analysis method of consumer's perceived value;fruit fly optimization algorithm based SVM classifier for efficient detection of Parkinson's disease;improving OCR-degraded Arabic text retrieval through an enhanced orthographic query expansion model;framework to secure data access in cloud environment;mutual authentication protocol based on smart card and combined secret key encryption;negative survey-based privacy protection of cloud data;security challenges and mitigations of NFC-enabled attendance system;achievement of a myoelectric clamp provided by an optical shifting control for upper limb amputations;tools for monitoring and parameter visualization in computer control systems of industrial robots;using discrete PSO algorithm to evolve multi-player games on spatial structure environment;a new physarum-based hybrid optimization algorithm for solving 0/1 knapsack problem and a discrete ecogeography-based optimization algorithm for university course timetabling.

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STAR — sparsity through automated rejection

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6th international Work-conference on Artificial and Natural Neural Networks, IWANN 2001

作者： Burbidge, Robert Trotter, Matthew Buxton, Bernard Holden, Sean University College London Gower Street LondonWC1E 6BT United Kingdom

ISBN: (纸本)3540422358

Heuristic methods for the rejection of noisy training examples in the support vector machine (SVM) are introduced. Rejection of training errors, either offline or online, results in a sparser model that is less affected by noisy data. A simple offline heuristic provides sparser models with similar generalization performance to the standard SVM, at the expense of longer training times. An online approximation of this heuristic reduces training time and provides a sparser model than the SVM with a slight decrease in generalization performance. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Support vector machines

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