This paper presents a methodology based on automatic knowledge discovery that aims to identify and predict the possible causes that makes a patient to be considered of high cost. The experiments were conducted in two ...
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This paper examines the formation of self-organizing feature maps (SOFM) by the direct optimization of a cost function through a genetic algorithm (GA). The resulting SOFM is expected to produce simultaneously a topol...
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In the present work, the architecture of a knowledge-based free-text response assessment system is presented, which can assess free-text responses on open-ended questions based on text comprehension theories. Its main...
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ISBN:
(纸本)9781627483339
In the present work, the architecture of a knowledge-based free-text response assessment system is presented, which can assess free-text responses on open-ended questions based on text comprehension theories. Its main advantages are the facts of extending the knowledge base and assessing responses on questions of different types. It is constituted from three basic modules: The first module is the Normalization Module (NoM), which is responsible for converting free-text responses into normalized responses, as well as, converting technical text into "functional system". The second module is the Functional System Module (FSM), which depicts all entities of a technical text and the relations among them, and is presented, by the representation of microstructure and macrostructure of a Computer Networks domain technical text, according to Denhiere-Baudet Text Comprehension Model. The third module is the Assessment Module (AM), responsible for assessing the normalized responses. It is based on data, obtained by experimental studies on microstructure and macrostructure, constructed by secondary school students, during reading technical texts and responding to questions.
This paper examines the formation of self-organizing feature maps (SOFM) by the direct optimization of a cost function through a genetic algorithm (GA). The resulting SOFM is expected to produce simultaneously a topol...
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This paper examines the formation of self-organizing feature maps (SOFM) by the direct optimization of a cost function through a genetic algorithm (GA). The resulting SOFM is expected to produce simultaneously a topologically correct mapping between input and output spaces and a low quantization error. The proposed approach adopts a cost (fitness) function which is a weighted combination of indices that measure these two aspects of the map quality, specifically, the quantization error and the Pearson correlation coefficient between the corresponding distances in input and output spaces. The resulting maps are compared with those generated by the Kohonen's self-organizing map (SOM) algorithm in terms of the quantization error (QE), the weighted topological error (WTE) and the Pearson correlation coefficient (PCC) indices. The experiments show the proposed approach produces better values of the quality indices as well as is more robust to outliers.
This work discusses the use of collaborative technology as an element for extending software process culture within development teams. This discussion starts with the idea that collaboration support comprises an impor...
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Support vector machines (SVMs) have established themselves as a state-of-the-art technique for coping with non-trivial machine learning problems. Among the SVM variants, least-squares SVMs have gained increased attent...
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Support vector machines (SVMs) have established themselves as a state-of-the-art technique for coping with non-trivial machine learning problems. Among the SVM variants, least-squares SVMs have gained increased attention recently due to the computational benefits they usually entail. Although considered as high-performance models, it is consensual that the applicability of these vector machines depends very much on a proper choice of some control parameters. In this paper, we present a sensitivity analysis study contrasting the performance profiles exhibited by standard and least-squares SVM classifiers with respect to the calibration of the kernel parameter value alone. The results achieved with simulations involving seven datasets indicate that the performance profiles are usually qualitatively similar for the two types of vector machines, both presenting kernel parameter values clearly associated with a better performance, and that the choice of the kernel function seems to be more critical than that of its parameter value.
The majority of legacy information systems running today were built without adopting a business process approach. In these systems, the control over the execution of the process activities is partial, leaving out all ...
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Eliciting and re-using knowledge within an organization requires a very structured communication process among its employees in order to avoid misunderstanding and confusion. The transfer of knowledge among actors can...
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