Complex Event processing over web service event streams poses huge challenges with regard to efficient, scalable execution as well as expressive models and languages that account for the dynamics in long-running queri...
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the paper presents basic notions of web mining, radial basis function (RBF) neural networks and epsilon-insensitive support vector machine regression (epsilon-SVR) for the prediction of a time series for the website o...
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ISBN:
(数字)9783642239601
ISBN:
(纸本)9783642239601;9783642239595
the paper presents basic notions of web mining, radial basis function (RBF) neural networks and epsilon-insensitive support vector machine regression (epsilon-SVR) for the prediction of a time series for the website of the University of Pardubice. the model includes pre-processing time series, design RBF neural networks and epsilon-SVR structures, comparison of the results and time series prediction. the predictions concerning short, intermediate and long time series for various ratios of training and testing data. Prediction of web data can be benefit for a web server traffic as a complicated complex system.
In recent decades, withthe continuous improvement of computer performance, in medicine, biology and other fields, its applications are paid more and more attention to by researchers and scholars. Aided medical diagno...
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Feature is very important in either supervised or unsupervised word sense disambiguation processing. this paper investigates the relationship between the number of feature and the performance of supervised Chinese wor...
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OWL-S is designed to support semantic and automated composition of web services. AFLOW is a composition system, based on OWL-S, combining AI planning and workflow technology. In this paper, we discuss the implementati...
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the unique characteristic of short text makes short text classification quite different from traditional long text processing. the feature space of short text is so sparse, which makes it notoriously difficult to extr...
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A new fuzzy reasoning method called the reverse universal triple I method of (1,1,2) type (reverse universal triple I method for short) is proposed and investigated by means of the famous Lukasiewicz implication, whic...
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In this paper we argue for a word-sense based formalization for collocation, and proposes a seed-based approach for collocation extraction for specific purposes. the approach uses RFR-SUM model to iteratively classify...
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the calibration method used in this study allows for the examination of distributed, but potentially subtle, representations of semantic information between mechanistic encoding of the language and the EEG. In particu...
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ISBN:
(数字)9783642239601
ISBN:
(纸本)9783642239601
the calibration method used in this study allows for the examination of distributed, but potentially subtle, representations of semantic information between mechanistic encoding of the language and the EEG. In particular, a horizontal connection between two basic Fundamental Operations (Semantic Composition and Synchronization) is attempted. the experimental results gave significant differences, which can be considered reliable and promising for further investigation. the experiments gave helpful results. Consequently, this method will be tested along withthe classification step by appropriate neural network classifiers.
the key element of a spoken dialogue system is Spoken language Understanding (SLU) part. HVS and EHVS are two most popular statistical methods employed to implement the SLU part which need lightly annotated data. Sinc...
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