[PDF] Top 20 Knowledge acquisition through information granulation for imbalanced data
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Knowledge acquisition through information granulation for imbalanced data
... from imbalanced/skewed data, which almost all the instances are labeled as one class while far few instances are labeled as the other class, traditional machine learning algorithms tend to produce high ... See full document
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Information granulation based data mining approach for classifying imbalanced data
... of data mining. When learning from imbalanced data in which most examples are labeled as one class and only few belong to another class, traditional data mining approaches do not have a good ... See full document
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A neural network based information granulation approach to shorten the cellular phone test process
... of imbalanced data where the amount of good products is far greater than the defective ...based information granulation approach to reduce the RF test items for the finished goods ... See full document
12
Dynamic EMCUD for knowledge acquisition
... the knowledge explosion, the new objects will be evolved in a dynamic ...the knowledge can be classified into static knowledge and dynamic ...many knowledge acquisition methodologies, ... See full document
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Dynamic EMCUD for knowledge acquisition
... the knowledge explosion, the new objects will be evolved in a dynamic ...the knowledge can be classified into static knowledge and dynamic ...many knowledge acquisition methodologies, ... See full document
2
Dynamic EMCUD for knowledge acquisition
... the knowledge explosion, the new objects will be evolved in a dynamic ...the knowledge can be classified into static knowledge and dynamic ...many knowledge acquisition methodologies, ... See full document
12
Class-imbalanced classifiers for high-dimensional data
... of data; each factor or combination affects particular classifiers differ- ...combination. For the algorithms and correction strategies investigated in this study, DLDA appeared to be less affected by the ... See full document
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KNOWLEDGE ACQUISITION FOR FUZZY EXPERT-SYSTEMS
... In this article, we propose a knowledge acquisition environment that con- sists of a knowledge acquisition unit, a graphic membership function developer, a fuzzy interface for e[r] ... See full document
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Driver Attention Allocation for Information Acquisition
... margin for changing lanes to the ...found. For maneuvering a left turn, the LW, LF, and RF were the most common focal points for checking the potential threats coming from opposite ...waiting. ... See full document
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A knowledge acquisition scheme for rule-based systems
... In this paper, we present a knowledge acquisition scheme for rule-based systems, where the domain expert or the knowledge engineer can express the domain knowledge[r] ... See full document
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Knowledge acquisition and development of accurate rules for predicting protein stability changes
... strategy for analysis of the two influence factors, secondary structure and solvent accessibility, iPTREE used the three feature sets: (1) including solvent accessibility, (2) including secondary structure, and ... See full document
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MCIS Tool Data Information for Teamcenter
... setup information to increase your confidence that the right manufacturing information and equipment are in the right place at the right time for ... See full document
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VODKA: Variant objects discovering knowledge acquisition
... using knowledge-based approach is proposed to exploit more loop parallelisms in this ...The knowledge-based approach integrates existing loop transformations and loop scheduling algorithms to make good use ... See full document
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VODKA: Variant objects discovering knowledge acquisition
... system. For experts to sense the occurrence of new variants and revise the original rule base, to collect sufficient relevant information becomes increasingly important in the knowledge ... See full document
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VODKA: Variant objects discovering knowledge acquisition
... Many knowledge acquisition methodologies have been proposed to elicit rules systematically with embedded meaning from domain ...classification knowledge based system. For experts to sense the ... See full document
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Rule-Based Knowledge Acquisition Method for Promoter Prediction in Human and Drosophila Species
... 4. Conclusions Promoter prediction is an important problem in elucidating the regulation of gene expression. Therefore, the development of a well-characterized promoter system is vital for syn- thetic biology ... See full document
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Improvement in Data Acquisition for a Step-Scan Fourier Transform Spectrometer
... ferogram; Data acquisition; CH emission spectru ...possible for time-resolved FT-infrared (FT-IR) to achieve time resolution ranging from nanoseconds to ...the data acquisition ... See full document
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2005-Knowledge acquisition: starting from knowledge characteristics and their relationships
... 框架式知識(frame-based knowledge) 框架表示法是利用分類法的原則，將知識分門別類而形成一種層次化的知識表示方法 3 案例式知識(case-based knowledge) 描述屬於經驗的知識，而利用案例式知識來進行推論，稱為案例式推論(case-based reasoning), 會從過去的經驗中，判定何種相似 ... See full document
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An architecture and category knowledge for intelligent information retrieval agents
... Human beings are familiar with using classi cation techniques to manage a large amount of objects. Similar objects are collected into the same group so that they can be retrieved conveniently. One of the most popu- lar ... See full document
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Holonic supervisory control and data acquisition kernel for 21st century intelligent building system
... The supervisory request oriented control kemel (SROCK) and the RTU holons integrate the IBS with HSCADA mechanism[8] [IO], where RTU holons collect the remote field data and e[r] ... See full document
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