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

共 231 条记录，以下是171-180 订阅

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On the complexity of the graphical representation and the belief inference in the dynamic directed evidential networks with conditional belief functions

On the complexity of the graphical representation and the be...

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6th international conference on Scalable Uncertainty Management, SUM 2012

作者： Laâmari, Wafa Ben Yaghlane, Boutheina Simon, Christophe LARODEC Laboratory Institut Supérieur de Gestion de Tunis Tunisia Institut des Hautes Études Commerciales de Carthage Université de Tunis Tunisia Université de Lorraine Centre de Recherche en Automatique de Nancy UMR 7039 Vandoeuvre-lès-Nancy F-54506 France CNRS Centre de Recherche en Automatique de Nancy UMR 7039 Vandoeuvre-lès-Nancy F-54506 France

ISBN: (纸本)9783642333613

Directed evidential graphical models are important tools for handling uncertain information in the framework of evidence theory. they obtain their efficiency by compactly representing (in)dependencies between variables in the network and efficiently reasoning under uncertainty. this paper presents a new dynamic evidential network for representing uncertainty and managing temporal changes in data. this proposed model offers an alternative framework for dynamic probabilistic and dynamic possibilistic networks. A complexity study of representation and reasoning in the proposed model is also presented in this paper. © 2012 Springer-Verlag.

关键词： Graphic methods

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Smooth component analysis and MSE decomposition for ensemble methods

Smooth component analysis and MSE decomposition for ensemble...

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6th KES international conference on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2012

作者： Szupiluk, Ryszard Wojewnik, Piotr ZĄbkowski, Tomasz Polska Telefonia Cyfrowa Ltd. Al. Jerozolimskie 181 02-222 Warsaw Poland Warsaw School of Economics Al. Niepodleglosci 162 02-554 Warsaw Poland Warsaw University of Life Sciences Nowoursynowska 159 02-787 Warsaw Poland

ISBN: (纸本)9783642309465

the paper is addressed to economic problems for which many different models can be proposed. In such situation the ensemble approach is natural way to improve the final prediction results. In particular, we present the method for the prediction improvement with ensemble method based on the multivariate decompositions. As a method for model results decomposition we present the smooth component analysis. the resulting components are classified as destructive and removed, or as constructive and recomposed. the classification of the components is based on the theoretical analysis of MSE error measure. the robustness of the method is validated through practical experiment of energy load consumption in Poland. © 2012 Springer-Verlag.

关键词： Decomposition

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Perceptron models for online structured prediction

Perceptron models for online structured prediction

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13th international conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012

作者： Coelho, Maurício Archanjo Nunes Fonseca Neto, Raul Borges, Carlos Cristiano Hasenclever Universidade Federal de Juiz de Fora Programa de Pós-Graduação Em Modelagem Computacional Minas Gerais Juiz de Fora Brazil

ISBN: (纸本)9783642326387

Our structured prediction problem is formulated as a convex optimization problem of maximal margin [5-6], quite similar to the formulation of multiclass support vector machines (MSVM) [8]. It is applied to predict costs among states of paths. Predicting them properly is very important, because the problem of paths planning depends on its correctness. Ratliff [4] showed a maximum margin approach which allows the prediction of costs in different environments using subgradient method. As a contribution of this work, we developed new solution methods: the first one, called Structured Perceptron, has similarities with the correction scheme proposed by [1] and the second one is called Structured IMA. It is derived from the work presented by [2]. Both use the Perceptron model. the proposed algorithms were more efficient in terms of computational effort and similar in prediction quality when compared with [4]. © 2012 Springer-Verlag.

关键词： Forecasting

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Towards the orchestration of secured services under non-disclosure policies

Towards the orchestration of secured services under non-disc...

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6th international conference on Mathematical methods, models and Architectures for Computer Network Security, MMM-ACNS 2012

作者： Avanesov, Tigran Chevalier, Yannick Rusinowitch, Michaël Turuani, Mathieu INRIA Nancy Grand Est 615 allée du jardin botanique 54000 Vandœuvre-lés-Nancy France IRIT Université de Toulouse 118 route de Narbonne F-31062 Toulouse France SnT Université du Luxebmourg 6 rue Richard Coudenhove-Kalergi L-1359 Luxembourg Luxembourg

ISBN: (纸本)9783642337031

the problem of finding a mediator to compose secured services has been reduced in our former work to the problem of solving deducibility constraints similar to those employed for cryptographic protocol analysis. We extend in this paper the mediator synthesis procedure by a construction for expressing that some data is not accessible to the mediator. then we give a decision procedure for verifying that a mediator satisfying this non-disclosure policy can be effectively synthesized. this procedure has been implemented in CL-AtSe, our protocol analysis tool. the procedure extends constraint solving for cryptographic protocol analysis in a significative way as it is able to handle negative deducibility constraints without restriction. In particular it applies to all subterm convergent theories and therefore covers several interesting theories in formal security analysis including encryption, hashing, signature and pairing. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Web services

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Practical Approach to Designing Processes with Generalized Nets and Linked Data Tokens

Practical Approach to Designing Processes with Generalized N...

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IEEE international conference Intelligent Systems

作者： Pavel Tcheshmedjiev Bioinformatics and Mathematical Modelling Department IBPhBME Bulgarian Academy of Sciences Sofia 1113 Bulgaria

In the present paper, a new extension to Generalized Nets is proposed. Tokens are represented as linked data and business process activities are represented as GN transitions. We will demonstrate how a GN model can be... 详细信息

ISBN: (纸本)9781467322768

关键词： component Generalized nets modelling parallel processes linked data RDF practical methods token guide number data models semantic networks Nets

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Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset

Region based Support Vector Machine algorithm for medical di...

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IEEE Symposium on bioinformatics and Bioengineering (BIBE)

作者： Savvas Karatsiolis Christos N. Schizas Computer Science Department University of Cyprus Nicosia Cyprus

the problem of diagnosing Pima Indian Diabetes from data obtained from the UCI Repository of Machine Learning Databases[6] is handled with a modified Support Vector Machine strategy. Performance comparison with previous studies is presented in order to demonstrate the proposed algorithm's advantages over various classification methods. the goal of the paper is to provide the grasp of a methodology that can be efficiently used to raise classification success rates obtained by the use of conventional approaches such as Neural Networks, RBF networks and K-nearest neighbors. the suggested algorithm divides the training set into two subsets: one that arises from the joining of coherent data regions and one that comprises of the data portion that is difficult to be clustered. Consequently, the first subset is used to train a Support Vector Machine with a RBF kernel and the second subset is used to train another Support Vector Machine with a polynomial kernel. During classification the algorithm is capable of identifying which of the two Support Vector Machine models to use. the intuition behind the suggested algorithm relies on the expectation that the RBF Support Vector Machine model is more appropriate to use on data sets of different characteristics than the polynomial kernel. In the specific study case the suggested algorithm raised average classification success rate to 82.2% while the best performance obtained by previous studies was 81% given by a fine tuned highly complex ARTMAP-IC model.

关键词： Support vector machines Training Kernel Classification algorithms Polynomials Data models Clustering algorithms

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Multi-task Drug Bioactivity Classification with Graph Labeling Ensembles

Multi-task Drug Bioactivity Classification with Graph Labeli...

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6th IAPR international conference on Pattern Recognition in bioinformatics

作者： Su, Hongyu Rousu, Juho Univ Helsinki Dept Comp Sci FIN-00014 Helsinki Finland

ISBN: (纸本)9783642248542

We present a new method for drug bioactivity classification based on learning an ensemble of multi-task classifiers. As the base classifiers of the ensemble we use Max-Margin Conditional Random Field (MMCRF) models, which have previously obtained the state-of-the-art accuracy in this problem. MMCRF relies on a graph structure coupling the set of tasks together, and thus turns the multi-task learning problem into a graph labeling problem. In our ensemble method the graphs of the base classifiers are random, constructed by random pairing or random spanning tree extraction over the set of tasks. We compare the ensemble approaches on datasets containing the cancer inhibition potential of drug-like molecules against 60 cancer cell lines. In our experiments we find that ensembles based on random graphs surpass the accuracy of single SVM as well as a single MMCRF model relying on a graph built from auxiliary data.

关键词： drug bioactivity prediction multi-task learning ensemble methods kernel methods

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Fast and deterministic computation of fixation probability in evolutionary graphs

Fast and deterministic computation of fixation probability i...

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6th IASTED international conference on Computational Intelligence and bioinformatics, CIB 2011

作者： Shakarian, Paulo Roos, Patrick Network Science Center Dept. of Electrical Engineering and Computer Science United States Military Academy West Point NY United States Dept. of Computer Science University of Maryland College Park MD United States

ISBN: (纸本)9780889869042

In evolutionary graph theory [1] biologists study the problem of determining the probability that a small number of mutants overtake a population that is structured on a weighted, possibly directed graph. Currently Monte Carlo simulations are used for estimating such fixation probabilities on directed graphs, since no good analytical methods exist. In this paper, we introduce a novel deterministic algorithm for computing fixation probabilities for strongly connected directed, weighted evolutionary graphs under the case of neutral drift, which we show to be a lower bound for the case where the mutant is more fit than the rest of the population (previously, this was only observed from simulation). We also show that, in neutral drift, fixation probability is additive under the weighted, directed case. We implement our algorithm and show experimentally that it consistently outperforms Monte Carlo simulations by several orders of magnitude, which can allow researchers to study fixation probability on much larger graphs.

关键词： Stochastic models

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Service-Oriented Perspectives in Design Science Research - 6th international conference, DESRIST 2011, Proceedings

Service-Oriented Perspectives in Design Science Research - 6...

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6th international conference on Service-Oriented Perspectives in Design Science Research, DESRIST 2011

ISBN: (纸本)9783642206320

the proceedings contain 34 papers. the topics discussed include: 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;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;managing the future-six guidelines for designing environmental scanning systems;and utilizing user-group characteristics to improve acceptance of management support SystemState of the art and six design guidelines.

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Universal Access in Human-Computer Interaction: Design for All and eInclusion - 6th international conference, UAHCI 2011, Held as Part of HCI international 2011, Proceedings

Universal Access in Human-Computer Interaction: Design for A...

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6th international conference on Universal Access in Human-Computer Interaction, UAHCI 2011, Held as Part of HCI international 2011

ISBN: (纸本)9783642216718

the proceedings contain 246 papers. the topics discussed include: visual mediation mechanisms for collaborative design and development;design for the information society;classifying interaction methods to support intuitive interaction devices for creating user-centered-systems;evaluation of video game interfaces;standardizing user models;integral model of the area of reaches and forces of a disabled person with dysfunction of lower limbs as a tool in virtual assessment of manipulation possibilities in selected work environments;modeling the role of empathic design engaged personas: an emotional design approach;results of the technical validation of an accessible contact manager for mobile devices;developing accessible mobile phone applications: the case of a contact manager and real time text applications;a multitasking approach to adaptive spoken dialogue management;and from clouds to rain: consolidating and simplifying online communication services with easy one communicator.

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