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Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1975 Springer Science+Business Media New York 197

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書目名稱Masters Theses in the Pure and Applied Sciences
副標題Accepted by Colleges
編輯Wade H. Shafer
視頻videohttp://file.papertrans.cn/626/625588/625588.mp4
叢書名稱Masters Theses in the Pure and Applied Sciences
圖書封面Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1975 Springer Science+Business Media New York 197
描述Masters Theses in the Pure and Applied Sciences was first conceived, published, and dis- seminated by the Center for Information and Numerical Data Analysis and Synthesis, (CINDAS) *at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dissemination phases of the ac- tivity was transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this joint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volume were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 19 (thesis year 1974) a total of 10,045 theses titles from 2
出版日期Book 1975
關(guān)鍵詞calculus; data analysis; information; organization; service; university
版次1
doihttps://doi.org/10.1007/978-1-4757-5776-7
isbn_softcover978-1-4757-5778-1
isbn_ebook978-1-4757-5776-7
copyrightSpringer Science+Business Media New York 1975
The information of publication is updating

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Wade H. Shafernizing similar looking alphabets. We propose a comprehensive solution to overcome this problem of recognizing words with phonetic spelling variations. To our knowledge, no work has been done till date to recognize Hinglish handwritten text. Our proposed solution shows a character recognition accurac
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Wade H. Shaferta/special cases was designed for optimizing the patient data representation. Further, a neural network model based on Extreme Learning Machine architecture was proposed for mortality prediction. ECG text reports available in the MIMIC-III dataset were used for experimental validation. The proposed
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Wade H. Shaferuerying context and (ii) allowing coping with information incompleteness in large KBs. The approach is evaluated using ConceptNet as a commonsense KB, and achieved ., . and .. Distributional semantics is also used as a principled mechanism to cope with information incompleteness.
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