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Titlebook: Advances in Knowledge Discovery and Data Mining; 15th Pacific-Asia Co Joshua Zhexue Huang,Longbing Cao,Jaideep Srivastav Conference proceed

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41#
發(fā)表于 2025-3-28 18:06:40 | 只看該作者
An Effective Feature Selection Method for Text Categorization it is not an economic alternative to rice or intensive vegetable crops also grown in the area. However as the availability of irrigation water becomes more constrained, wheat, at yield levels near those obtained under the best soil and water management conditions (about 8 t ha.), would be economica
42#
發(fā)表于 2025-3-28 20:25:13 | 只看該作者
43#
發(fā)表于 2025-3-29 02:36:23 | 只看該作者
Classification Probabilistic PCA with Application in Domain Adaptationfood security worldwide. People from developing countries are at greatest risk of experiencing food insecurity, and today, millions of people are going to bed hungry. Wheat is serving as a staple food for millions of people around the world. Development of high-yielding wheat varieties during the Gr
44#
發(fā)表于 2025-3-29 03:19:18 | 只看該作者
45#
發(fā)表于 2025-3-29 11:01:00 | 只看該作者
46#
發(fā)表于 2025-3-29 11:30:43 | 只看該作者
Balance Support Vector Machines Locally Using the Structural Similarity Kernellergies, ATI sensitivity – relative to other food sensitivit.This book is about three inflammatory conditions that underlie wheat sensitivities caused by the consumption of wheat and related cereals. The book describes, discusses and differentiates celiac disease, amylase trypsin inhibitor (ATI) sen
47#
發(fā)表于 2025-3-29 18:03:54 | 只看該作者
48#
發(fā)表于 2025-3-29 23:18:59 | 只看該作者
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sourcesaero-engine and electrified aviation.?AIAA and IEEE both have their intrinsic needs for each other and their co-working is a must-have in the rest of 21.st.?century. AIAA needs IEEE to become smarter and greener and IEEE needs a much broader scope to enlarge its marketplace and playground.?The topic
49#
發(fā)表于 2025-3-30 02:12:40 | 只看該作者
The Role of Hubness in Clustering High-Dimensional Datasive sensing.Supply readers with hands-on examples, real dat.This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the following main topics: recovering missing data, efficiently collecting data, pr
50#
發(fā)表于 2025-3-30 04:36:15 | 只看該作者
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