this paper extends the framework for merging sociologically inspired rational cognitive models of decision making with social media inspired feedback mechanisms. this model, with certain simplifying assumptions, is us...
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the Markov Chain Monte Carlo (MCMC) family of methods form a valuable part of the toolbox of social modeling and prediction techniques, enabling modelers to generate samples and summary statistics of a population of i...
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Given a context-free grammar (CFG) and a finite-state automaton (FA), we tackle the problem of computing the most similar pair of strings from two languages. We in particular consider three different gap cost models, ...
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this book constitutes the thoroughly refereed post-conference proceedings of the 4thinternational Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2011, held in Rome, Italy, in January 201...
ISBN:
(数字)9783642297526
ISBN:
(纸本)9783642297519
this book constitutes the thoroughly refereed post-conference proceedings of the 4thinternational Joint conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2011, held in Rome, Italy, in January 2011. the 27 revised full papers presented together with one invited lecture were carefully reviewed and selected from a total of 538 submissions. the papers cover a wide range of topics and are organized in four general topical sections on biomedical electronics and devices; bioinformaticsmodels, methods and algorithms; bio-inspired systems and signal processing; health informatics.
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. these algorithms update the parameter at some deterministic times and use Sequential Monte Carlo method...
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In this work, a metabolomics dataset from 1H nuclear magnetic resonance spectroscopy of Brazilian propolis was analyzed using machine learning algorithms, including feature selection and classification methods. Partia...
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ISBN:
(纸本)9783642341236
In this work, a metabolomics dataset from 1H nuclear magnetic resonance spectroscopy of Brazilian propolis was analyzed using machine learning algorithms, including feature selection and classification methods. Partial least square-discriminant analysis (PLS-DA), random forest (RF), and wrapper methods combining decision trees and rules with evolutionary algorithms (EA) showed to be complementary approaches, allowing to obtain relevant information as to the importance of a given set of features, mostly related to the structural fingerprint of aliphatic and aromatic compounds typically found in propolis, e.g., fatty acids and phenolic compounds. the feature selection and decision tree-based algorithms used appear to be suitable tools for building classification models for the Brazilian propolis metabolomics regarding its geographic origin, with consistency, high accuracy, and avoiding redundant information as to the metabolic signature of relevant compounds.
the proceedings contain 26 papers. the topics discussed include: exposing security risks for commercial mobile devices;from qualitative to quantitative enforcement of security policy;design and implementation of a clo...
ISBN:
(纸本)9783642337031
the proceedings contain 26 papers. the topics discussed include: exposing security risks for commercial mobile devices;from qualitative to quantitative enforcement of security policy;design and implementation of a cloud-based assured information sharing system;optimization of key distribution protocols based on extractors for noisy channels within active adversaries;a vulnerability in the UMTS and LTE authentication and key agreement protocols;alternative mechanisms for information security;enforcing information flow policies by a three-valued analysis;towards the orchestration of secured services under non-disclosure policies;an approach for network information flow analysis for systems of embedded components;individual countermeasure selection based on the return on response investment index;security and reliability requirements for advanced security event management;and using behavioral modeling and customized normalcy profiles as protection against targeted cyber-attacks.
the blind digital signature protocols play important role in e-commerce applications. In this paper the new blind digital signature scheme with 384-bit signature length is proposed. the latter is achieved by using fin...
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the modern methodologies of computer threats' detection traditionally include heuristic approaches of detecting malicious programs (malware) and their side effects. Usually these approaches are used in order to fo...
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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 sel...
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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