Clinical Decision Support systems embed data-driven decision models designed to represent clinical acumen of an experienced physician. We argue that eliminating physicians' diagnostic biases from data improves the...
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ISBN:
(纸本)9783642135286
Clinical Decision Support systems embed data-driven decision models designed to represent clinical acumen of an experienced physician. We argue that eliminating physicians' diagnostic biases from data improves the overall quality of concepts, which we represent as decision rules. Experiments conducted on prospectively collected clinical data show that analyzing this filtered data produces rules with better coverage, certainty and confirmation. Cross-validation testing shows improvement in classification performance.
the proceedings contain 613 papers. the topics discussed include: radial basis function classifier construction using particle swarm optimization aided orthogonal forward regression;sparse kernel density estimation te...
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ISBN:
(纸本)9781424469178
the proceedings contain 613 papers. the topics discussed include: radial basis function classifier construction using particle swarm optimization aided orthogonal forward regression;sparse kernel density estimation technique based on zero-norm constraint;a robust wind turbine control using a neural network based wind speed estimator;design of dynamic Petri recurrent-fuzzy-neural- network for robust path tracking control of mobile robot;testing adaptive local hyperplane for multi-class classification by double cross-validation;neural-network based regression model with prior from ranking information;learning to recognize objects using waves of spikes and spike timing-dependent plasticity;an online approach towards self-generating fuzzy neural networks with applications;stability analysis of self-organizing maps and vector quantization algorithms;proactive reputation-based defense for MANETs using radial basis function neural networks;and inflow forecasting models based on artificial intelligence.
the proceedings contain 15 papers. the special focus in this conference is on Agents and Data Mining Interaction. the topics include: Pattern Recognition in Online Environment by Data Mining Approach;a Multiple System...
ISBN:
(纸本)9783642154195
the proceedings contain 15 papers. the special focus in this conference is on Agents and Data Mining Interaction. the topics include: Pattern Recognition in Online Environment by Data Mining Approach;a Multiple System Performance Monitoring Model for Web Services;implementing an Open Reference Architecture Based on Web Service Mining for the Integration of Distributed Applications and Multi-Agent systems;minority Game Data Mining for Stock Market Predictions;integrating Workflow into Agent-Based Distributed Data Mining systems;pilot Study: Agent-Based Exploration of Complex Data in a Hospital Environment;multi-agent Information Retrieval in Heterogeneous Industrial Automation Environments;a Data Mining Approach to Identify Obligation Norms in Agent Societies;probabilistic Modeling of Mobile Agents’ Trajectories;real-Time Sensory Pattern Mining for Autonomous Agents;analyzing Agent-Based Simulations of Inter-organizational Networks;clustering in a Multi-Agent Data Mining Environment.
When we think of an object in a supervised learning setting, we usually perceive it as a collection of fixed attribute values. Although this setting may be suited well for many classification tasks, we propose a new o...
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作者：
Benfell, AdrianIRC
University of Reading Building 42 Whiteknights Reading. RG6 6WB United Kingdom
the discovery of suitable web services is a demanding challenge for organisations that plan to benefit from this technology. Markedly even more so when strategic objectives, organisational structures, business process...
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Sustainable management of data driven projects is vital for the efficiency and success of a project, as well as for the task of knowledge management for the institution or consortium that is working on the project. Wi...
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Graphics processing units provide a large computational power at a very low price which position them as an ubiquitous accelerator. Efficient primitives that can expand the range of operations performed on the GPU are...
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the algorithm for GNSS signal parameters estimation in the presence of strong multipath is described. the algorithm is based on the analysis of the second differences of the two-dimensional power grid withthe center ...
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ISBN:
(纸本)9785900780856
the algorithm for GNSS signal parameters estimation in the presence of strong multipath is described. the algorithm is based on the analysis of the second differences of the two-dimensional power grid withthe center in the predicted point of signal detection. this algorithm significantly reduces the error of signal parameters estimation caused by the presence of the strong reflected signal as compared with traditional algorithms.
the development of appropriate training schemes and scenarios for computer-based training in the use of new Advanced Driver Assistance systems (ADAS), has been one of the many objectives of the TRAIN-ALL (European Com...
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Parameters that vary monotonically with fault development are useful in condition monitoring, but not easy to find especially for complex systems. A method using fuzzy preference based rough set model and principle co...
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ISBN:
(纸本)9783642135286
Parameters that vary monotonically with fault development are useful in condition monitoring, but not easy to find especially for complex systems. A method using fuzzy preference based rough set model and principle component analysis (PCA) is proposed to generate such an indicator. the fuzzy preference based rough set model is employed to evaluate the monotonic trends of features reflecting machinery conditions. PCA is used to condense the informative features and generate an indicator which can represent the development of machine health condition. the effectiveness of the proposed method is tested for damage level detection of an impeller in a slurry pump.
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