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检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
585 条 记 录,以下是201-210 订阅
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A Network Intrusion Detection Method for Training dataset Generation Based on KNN  24
A Network Intrusion Detection Method for Training Dataset Ge...
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1st international Conference on Image Processing machine learning and pattern recognition
作者: Liu, Xiaoan Shuang, Nian Saklain, Md Golam Huang, Hui Zhang, Liqing Deng, Fei Kunming Univ Coll Informat Engn Kunming Yunnan Peoples R China Univ Yunnan Lab Data Governance & Intelligent Decis Kunming Yunnan Peoples R China
In this paper, for overcoming the difficulty of training dataset about two random method and manual method, the K-Nearest Neighbor (KNN) method is used to detect the network intrusion. Through adjusting K-value from p... 详细信息
来源: 评论
1st international workshop on pattern recognition with Support Vector machines, SVM 2002
1st International Workshop on Pattern Recognition with Suppo...
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1st international workshop on pattern recognition with Support Vector machines, SVM 2002
The proceedings contain 32 papers. The special focus in this conference is on Computational Issues, Object recognition, pattern recognition and Applications. The topics include: Predicting signal peptides with support...
来源: 评论
Enhancing Unsupervised Few-Shot Medical Image Classification with Weight-Enhanced Contrastive learning  24
Enhancing Unsupervised Few-Shot Medical Image Classification...
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1st international Conference on Image Processing machine learning and pattern recognition
作者: Liu, Huantong Zhong, Jingze Shanghai Univ Shanghai Peoples R China
In the realm of contemporary deep learning, the pivotal challenges confronting few-shot and unsupervised learning reside in harnessing scarce labeled samples alongside abundant unlabeled ones, particularly in the cont... 详细信息
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The Neighborhood MCMC sampler for learning Bayesian networks  1
The Neighborhood MCMC sampler for learning Bayesian networks
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1st international workshop on pattern recognition (IWPR)
作者: Alyami, Salem A. Azad, A. K. M. Keith, Jonathan M. Monash Univ Sch Math Sci Clayton Vic 3800 Australia Al Imam Mohammad Ibn Saud Islamic Univ IMSIU Riyadh Saudi Arabia
Getting stuck in local maxima is a problem that arises while learning Bayesian networks (BNs) structures. In this paper, we studied a recently proposed Markov chain Monte Carlo (MCMC) sampler, called the Neighbourhood... 详细信息
来源: 评论
data mining Application in Smart Meter Quality Control
Data Mining Application in Smart Meter Quality Control
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international Conference on Fuzzy System and data mining (FSDM)
作者: Zhu, Yu-Nan Ji, Feng Liu, Jian Tian, Zheng-Qi Zhou, Chao Mahjoubfar, Ata Elect Power Metering Key Lab State Grid 9 Aoti St Nanjing Jiangsu Peoples R China State Grid Jiangsu Elect Power Res Inst 9 Aoti St Nanjing Jiangsu Peoples R China Univ Calif Los Angeles Dept Elect Engn Los Angeles CA 90024 USA Calif NanoSyst Inst Los Angeles CA USA
This paper presents application of data mining in enhancement of smart meter quality control based on the observed life cycle data. data mining techniques followed by machine learning methods efficaciously recognize i... 详细信息
来源: 评论
Research on High Reliability 1553B Bus RT Mode data Receiving Method  24
Research on High Reliability 1553B Bus RT Mode Data Receivin...
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1st international Conference on Image Processing machine learning and pattern recognition
作者: Zhou, Li Wang, Yunhui Xue, Yijuan Jiang, Biao Xue, Jiao Elect Mech Res Inst Xian Aerosp Precis Xian Shaanxi Peoples R China
As the core control communication bus in the field of aerospace and weapons, 1553B bus has the characteristics of high reliability, high real-time, reasonable error control measures, high bus efficiency, and is widely... 详细信息
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Acquisition of Typical Occupancy Schedules for Commercial Buildings from Social Networks  1
Acquisition of Typical Occupancy Schedules for Commercial Bu...
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1st ACM international workshop on Urban Building Energy Sensing, Controls, Big data Analysis, And Visualization (UrbSys)
作者: Lu, Xing Feng, Fan O'Neill, Zheng Univ Alabama Dept Mech Engn Tuscaloosa AL 35487 USA
Occupancy behavior in buildings has been a hotspot of research as building systems become more sophisticated. Traditional sensing technologies suffer from high costs, inevitable sensor errors, and scalability issues a... 详细信息
来源: 评论
Evaluating the Max-Min Hill-Climbing Estimation of Distribution Algorithm on B-Functions  6th
Evaluating the Max-Min Hill-Climbing Estimation of Distribut...
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6th international workshop on Artificial Intelligence and pattern recognition (IWAIPR)
作者: Madera, Julio Ochoa, Alberto Univ Camaguey Dept Comp Sci Camaguey Cuba Inst Cibernet Matemat & Fis Havana Cuba
In this paper we evaluate a new Estimation of Distribution Algorithm (EDA) constructed on top of a very successful Bayesian network learning procedure, Max-Min Hill-Climbing (MMHC). The aim of this paper is to check w... 详细信息
来源: 评论
Proceedings of the 1st ACM SIGSPATIAL international workshop on Advances in Resilient and Intelligent Cities, ARIC 2018
Proceedings of the 1st ACM SIGSPATIAL International Workshop...
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1st ACM SIGSPATIAL international workshop on Advances in Resilient and Intelligent Cities, ARIC 2018
The proceedings contain 8 papers. The topics discussed include: multiple evaluation in future population distribution for sustainable city;detecting street signs in cities based on object recognition with machine lear...
来源: 评论
Research on a Software System Size Evaluation Model Combining BiLstM-CRF with Domain Adaptation learning  24
Research on a Software System Size Evaluation Model Combinin...
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1st international Conference on Image Processing machine learning and pattern recognition
作者: Sun, Sen Tao, Yizheng China Acad Engn Phys Inst Comp Applicat Beijing Peoples R China
In the field of software engineering, accurate and efficient measurement of system size is crucial for project management and decision-making. Traditional software system size evaluation methods, such as expert decisi... 详细信息
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