In this study, we use a genetic algorithm and k-nearest neighbor method to classify two subtypes of renal cell carcinoma using a set of microarray gene expression profiles of nine samples (three clear cell tumors and ...
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ISBN:
(纸本)0769521940
In this study, we use a genetic algorithm and k-nearest neighbor method to classify two subtypes of renal cell carcinoma using a set of microarray gene expression profiles of nine samples (three clear cell tumors and six papillary tumors). We show that the genetic algorithm/k-nearest neighbor method can be efficiently used in identifying a panel of discriminator genes. To test the robustness of the algorithm, we perform a bootstrapping analysis that removes one sample from the data set at a time and uses the remaining samples for gene selection. We show that each of the removed samples can be classified correctly. We also analyze the stability of the algorithm and the sensitivity of the algorithm with respect to different samples.
One of the most important problems in fatigue analysis and design of aircraft structures is the prediction of fatigue crack growth in service. Available in-service inspection data for various types of aircraft indicat...
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One of the most important problems in fatigue analysis and design of aircraft structures is the prediction of fatigue crack growth in service. Available in-service inspection data for various types of aircraft indicate that the fatigue crack damage accumulation in service involves considerable statistical variability. In this paper, we consider the problem of estimating the minimum time to crack initiation (or warranty period) for a number of aircraft structural components, before which no cracks (that may be detected) in materials occur, based on the results of previous warranty period tests on the structural components in question. This problem is a special case of a general class of problems concerned with the analysis of fatigue crack damage accumulation in aircraft service. The technique proposed here for solving this problem emphasizes pivotal quantities relevant for obtaining ancillary statistics. Attention is restricted to invariant families of distributions. Numerical examples are given.
In discrete detector PET, natural pixels are image basis functions calculated from responses of detector pairs. By using reconstruction with natural pixels the discretization of the object into a predefined grid can b...
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In supply chains, the phenomenon of bullwhip effect (the variance amplification of order quantities observed in supply chain) has received a considerable attention by both theoretical researchers and practioners as it...
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The IMS content packaging specification provides a framework for deploying learning content based on an XML data structure known as a manifest. A content package is described by metadata and optionally incorporates IM...
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The IMS content packaging specification provides a framework for deploying learning content based on an XML data structure known as a manifest. A content package is described by metadata and optionally incorporates IMS simple sequencing rules and an IMS learning design, both of which are hard-coded when the package is created. Though these provide some measure of adaptation, the paths through the learning material are pre-determined at design time and it is clear that the current specifications are not robust enough to support the kind of adaptation that caters to the need of all types of learners. In this paper, we propose that Web services can be used to support the dynamic adaptation of content for different learners based on the content packaging specification. We identify the kinds of Web services that would be useful and explain how these services are connected to content packages of reusable online resources. We also discuss the role of pedagogical agents in accessing Web services on behalf of a learner.
It is generally believed that the queueing behavior of an arrival process is most sensitive to its first and second order statistics. In this paper, we show that this is not generally true. We consider the queueing be...
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It is generally believed that the queueing behavior of an arrival process is most sensitive to its first and second order statistics. In this paper, we show that this is not generally true. We consider the queueing behavior of two classes of sources. The first class is the superposition of multiple discrete autoregressive sources of order 1 (referred to as DAR(1) sources), and the second class is a single DAR(1) source having the same first and second order statistics as the superposed source. In particular, we show that in the homogeneous case, the mean queue lengths of the two models are identical, but the queue length variances of the two models are significantly different depending on the correlation of individual sources.
We prove that all transition rates with respect to reversible cyclic Markov chains with continuous time are uniquely determined by the distributions of their hitting time and sojourn time at two neighboring states. As...
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We prove that all transition rates with respect to reversible cyclic Markov chains with continuous time are uniquely determined by the distributions of their hitting time and sojourn time at two neighboring states. As a result, we can estimate all the statistical characteristics based upon the statistics of the hitting time and sojourn time. As an example, we give its applications to modelling of ion channels in biology.
A sequential projection pursuit model (SPPM) for unsupervised segmentation of the polarimetric synthetic aperture radar (POL-SAR) image is proposed in this paper. The features of the high dimension data are extracted ...
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A sequential projection pursuit model (SPPM) for unsupervised segmentation of the polarimetric synthetic aperture radar (POL-SAR) image is proposed in this paper. The features of the high dimension data are extracted out via orthogonal projection and the classification is accomplished by the Bayesian decision rule. Also the similarity parameters of POL-data are expressed as the characters of a target and form new target data. The SPPM utilizes new target data to classify the target into various subclasses. Good-segmented results have been obtained for the POL-SAR image processing. The segmented results using the SPPM are better than that of using entropy-alpha plane.
This paper is devoted to the study of reflectional symmetries of fuzzy objects. We introduce a symmetry measure which defines the degree of symmetry of an object with respect to a given plane. It is computed by measur...
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Goal driven intelligent agents and fuzzy reference gain-scheduling (FRGS) approach are described As interchangeable concepts that are able to deal with dynamic complex problems. It is advocated that the FRGS approach ...
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Goal driven intelligent agents and fuzzy reference gain-scheduling (FRGS) approach are described As interchangeable concepts that are able to deal with dynamic complex problems. It is advocated that the FRGS approach may be viewed as an autonomous goal-based agent, that is, a fuzzy logic based agent able to autonomously adapt itself to environmental changes introduced by external inputs. The concept of fuzzy systems and intelligent agent are employed in decision-making problems to lead to a certain degree of autonomy in decision support system. Although the FRGS method was originally proposed for control application, this approach was extended to decision-making tasks due to its ability of emulating human reasoning. This new agent approach uses the external input information also denominated reference (goal) as the driven mechanism to determine the behavior of the system in order to achieve the desired objectives (goal). Thus, the FRGS approach can be modeled in the framework of an adaptive and goal (also context or environment) driven agent.
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