Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 439-441.
• Big Data & Data Mining • Previous Articles Next Articles
ZHONG Xi, SUN Xiang-e
CLC Number:
| [1]周志华.机器学习[M].北京:清华大学出版社,2016:2-4. [2]HARRINGTON P.机器学习实战[M].李锐,李鹏,曲亚东,等译.北京:人民邮电出版社,2013:171-173. [3]DIETTERICH T G.Machine learning research:four current directions[J].AI Magazine,1997,18(4):97-136. [4]ZHOU Z H,WU J,TANG W.Ensembling neural networks: many could be better than all[J].Artificial intelligence,2002,137(1):239-263. [5]BLACK C,KEOGH E,MERZ C J.UCI repository of machine lear-ningdatabase[EB/OL].http://www.ics.uci.edu/~mlearn/MLReposito-ry.html.1998. [6]郭英明,李虹利.基于斯皮尔曼系数的加权朴素贝叶斯分类算法研究[J].信息与电脑,2018(13):57-59. [7]JIANG Q,WANG W,HAN X,et al.Deep feature weighting in Nai-ve Bayes for Chinese text classification[C]∥International Conference on Cloud Computing and Intelligence Systems(CCIS).Beijing,2016:160-164. [8]邓广彪,黄振功,岳晓光.基于Nesterov平滑的高阶路径朴素贝叶斯文本隐式分类研究[J].西南师范大学学报(自然科学版),2018,43(7):107-112. [9]KATKAR V D,KULKARNI S V.A novel parallel implementation of Naive Bayesian classifier for Big Data[C]∥International Conferen-ce on Green Computing,Communication and Conservation of Energy (ICGCE).Chennai,2013:847-852. [10]ZAGORECKIA.Feature selection for naive Bayesian network ensemble using evolutionary algorithms[C]∥Federated Conference on Computer Science and Information Systems.Warsaw,2014:381-385. [11]TSYMBAL A,PUURONEN S,PATTERSON D W.Ensemble f-eature selection with the simple Bayesian classification[J].Information Fusion,2003,4(2):87-100. [12]张剑飞,刘克会,杜晓昕.基于k阶依赖扩展的贝叶斯网络分类器集成学习算法[J].东北师大学报(自然科学版),2016,48(1):65-71. [13]王玲娣,徐华.一种基于聚类和AdaBoost的自适应集成算法[J].吉林大学学报(理学版),2018,56(4):917-924. [14]GIACINTO G,ROLI F.Design of effective neural network ense-mbles for image classification purposes[J].Image and Vision Comput-ing,2001,19(9):699-707. [15]何梦娇,杨燕,王淑营.一种基于非负矩阵分解的聚类集成算法[J].计算机科学,2017,44(9):58-61. [16]HAN J W,KAMBER M.数据挖掘概念与技术[M].范明,孟小锋,译.北京:机械工业出版社,2000:173-175. [17]ARTHUR D,VASSILVITSKII S.k-means++:the advantages of careful seeding[C]∥In Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms.New Orleans,SIAM,2007:1027-1035. [18]BREIMAN L.Bagging predictors[J].Machine learning,1996,24(2):123-140. [19]KROGN A,VEDLEBSBY J.Neural network ensembles,cross v-alidation and active learning[C]∥International Conference on Neural Information Processing Systems.MIT Press,1994:231-238. [20]李凯,李昆仑,崔丽娟.模型聚类及在集成学习中的应用研究[J].计算机研究与发展,2007(S2):203-207. |
| [1] | HAO Jie, PING Ping, FU De-yin, ZHAO Hong-ze. Bi-histogram Shifting Reversible Data Hiding Method After Compressed Differences [J]. Computer Science, 2022, 49(9): 340-346. |
| [2] | CHEN Zhuang, ZOU Hai-tao, ZHENG Shang, YU Hua-long, GAO Shang. Diversity Recommendation Algorithm Based on User Coverage and Rating Differences [J]. Computer Science, 2022, 49(5): 159-164. |
| [3] | WANG Sheng, ZHANG Yang-sen, CHEN Ruo-yu, XIANG Ga. Text Matching Method Based on Fine-grained Difference Features [J]. Computer Science, 2021, 48(8): 60-65. |
| [4] | LEI Jian-mei, ZENG Ling-qiu, MU Jie, CHEN Li-dong, WANG Cong, CHAI Yong. Reverse Diagnostic Method Based on Vehicle EMC Standard Test and Machine Learning [J]. Computer Science, 2021, 48(6): 190-195. |
| [5] | WANG Ying-ying, CHANG Jun, WU Hao, ZHOU Xiang, PENG Yu. Intrusion Detection Method Based on WiFi-CSI [J]. Computer Science, 2021, 48(6): 343-348. |
| [6] | ZHAN Rui, LEI Yin-jie, CHEN Xun-min, YE Shu-han. Street Scene Change Detection Based on Multiple Difference Features Network [J]. Computer Science, 2021, 48(2): 142-147. |
| [7] | JIANG Chong, ZHANG Zong-zhang, CHEN Zi-xuan, ZHU Jia-cheng, JIANG Jun-peng. Data Efficient Third-person Imitation Learning Method [J]. Computer Science, 2021, 48(2): 238-244. |
| [8] | DAN Zhou-yang, LIU Fen-lin, GONG Dao-fu. Smoothing Filter Detection Algorithm Based on Middle and Tail Information of Differential Histogram [J]. Computer Science, 2021, 48(11): 234-241. |
| [9] | DING Qing-feng, XI Tao, LIAN Yi-chong, WU Ze-xiang. Antenna Selection for Spatial Modulation Based on Physical Layer Security [J]. Computer Science, 2020, 47(7): 322-327. |
| [10] | YU Meng-chi, MU Jia-peng, CAI Jian, XU Jian. Noisy Label Classification Learning Based on Relabeling Method [J]. Computer Science, 2020, 47(6): 79-84. |
| [11] | LI Bin, LIU Quan. Double Weighted Learning Algorithm Based on Least Squares [J]. Computer Science, 2020, 47(12): 210-217. |
| [12] | LI Kai-wen, XU Lin, CHEN Qiang. Relative Image Quality Assessment Based on CPNet [J]. Computer Science, 2020, 47(11): 159-167. |
| [13] | WANG Qia, QI Yong. Method for Traffic Video Background Modeling Based on Inter-frame Difference and Statistical Histogram [J]. Computer Science, 2020, 47(10): 174-179. |
| [14] | SHI Xiao-ling, CHEN Zhi, YANG Li-gong, SHEN Wei. Matrix Factorization Recommendation Algorithm Based on Adaptive Weighted Samples [J]. Computer Science, 2019, 46(6A): 488-492. |
| [15] | ZHAO Ning-bo, LIU Wei, LUO Rong, HU Shun-ren1,3. Optimization Model of Working Mode Transformation Strategies for Wireless Sensor Nodes [J]. Computer Science, 2019, 46(5): 44-49. |
|
||
Home