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检索条件"任意字段=2019 International Conference on Applied Machine Learning and Data Science, ICAMLDS 2019"
11132 条 记 录,以下是4991-5000 订阅
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Statistical analysis for detection of sensitive data using hadoop clusters  21
Statistical analysis for detection of sensitive data using h...
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21st IEEE international conference on High Performance Computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on data science and Systems, HPCC/SmartCity/DSS 2019
作者: Adhikari, Binod Kumar Zuo, Wanli Maharjan, Ramesh Han, Xuming Amatya, Prakash Bahadur Ali, Wajid College of Computer Science and Technology Jilin University Changchun130012 China Amrit Campus Tribhuvan University Kathmandu Nepal
The omnipresence of internet technology and the advent of smart devices accumulate varieties of voluminous, viscous real-time data in a network from varieties of sources and also facilitates a way for criminal, intrud... 详细信息
来源: 评论
Combining machine learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network  20th
Combining Machine Learning and Classical Optimization Techni...
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20th international conference on Intelligent data Engineering and Automated learning (IDEAL)
作者: Hamdan, Mutasem Hamdi, Khairi Univ Manchester Sch EEE Manchester Lancs England
In this paper a new optimization technique has been proposed to take the advantage of both the Hungarian Algorithm and Deep Q-learning Neural Network (DQN) to solve the frequency and power resources allocation problem... 详细信息
来源: 评论
Performance Analysis of data Parallelism Technique in machine learning for Human Activity Recognition using LSTM  11
Performance Analysis of Data Parallelism Technique in Machin...
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11th IEEE Int Conf on Cloud Comp Technol and Sci (CloudCom) / 19th IEEE Int Conf Comp and Informat Technol (CIT) / 2019 Int Workshop on Resource Brokering with Blockchain (RBchain) / Asia-Pacific Serv Comp Conf (APSCC)
作者: Nguyen, Tri D. T. Park, Jae Ho Hossain, Md Imtiaz Hossain, Md Delowar Lee, Seung-Jin Jang, Jin Woong Jo, Seo Hui Huynh, Luan N. T. Tran Trong Khanh Huh, Eui-Nam Kyung Hee Univ Dept Comp Sci & Engn Seoul South Korea CHIENCE 100210F Ace Techno Tower 2Digital Ro 31 Gil 19 Seoul South Korea
Human activity recognition (HAR), driven by large deep learning models, has received a lot of attention in recent years due to its high applicability in diverse application domains, manipulate time-series data to spec... 详细信息
来源: 评论
Can digital footprints save the physical lecture?  11
Can digital footprints save the physical lecture?
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11th international conference on Computer Supported Education, CSEDU 2019
作者: Heggernes, Tarjei Bergfjord, Ole Jakob Department of Business Administration Western Norway University of Applied Sciences Bergen Norway
We argue that better use of "digital footprints" (data generated from students’ learning activities) could be used to improve the traditional lecture. We point out some potentially important data sources, a... 详细信息
来源: 评论
Spectrum Allocation of Cognitive Radio Network Based on Improved Cuckoo Search Algorithm  19
Spectrum Allocation of Cognitive Radio Network Based on Impr...
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2nd international conference on Computer science and Software Engineering (CSSE)
作者: Xin, ZiYun Zhang, DaMin Chen, ZhongYun Guizhou Univ Big Data & Informat Engn Guiyang Guizhou Peoples R China
In order to effectively solve the discrete optimization problem of cognitive radio network spectrum allocation, a new binary adaptive cuckoo search (BACS) algorithm is proposed, which introduces reverse learning in th... 详细信息
来源: 评论
Generative Modeling for Small-data Object Detection  17
Generative Modeling for Small-Data Object Detection
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IEEE/CVF international conference on Computer Vision (ICCV)
作者: Liu, Lanlan Muelly, Michael Deng, Jia Pfister, Tomas Li, Jia Univ Michigan Ann Arbor MI 48109 USA Google Cloud AI Mountain View CA USA Princeton Univ Princeton NJ 08544 USA Stanford Univ Stanford CA 94305 USA Google Mountain View CA 94043 USA
This paper explores object detection in the small data regime, where only a limited number of annotated bounding boxes are available due to data rarity and annotation expense. This is a common challenge today with mac... 详细信息
来源: 评论
LIA: A Label-Independent Algorithm for Feature Selection for Supervised learning  5th
LIA: A Label-Independent Algorithm for Feature Selection for...
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5th international conference on machine learning, Optimization, and data science (LOD)
作者: Gilboa-Freedman, Gail Patelsky, Alon Sheldon, Tal Interdisciplinary Ctr Herzliya Herzliyya Israel
The current study considers an unconventional framework of unsupervised feature selection for supervised learning. We provide a new unsupervised algorithm which we call LIA, for Label-Independent Algorithm, which comb... 详细信息
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A new reinforcement learning-based framework for unbiased autonomous software systems  8
A new reinforcement learning-based framework for unbiased au...
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8th international conference on Modeling Simulation and applied Optimization, ICMSAO 2019
作者: Sulaimon, Ismail Abiodun Ghoneim, Ahmed Alrashoud, Mubarak Department of Software Engineering College of Computer and Information Sciences King Saud University Riyadh11543 Saudi Arabia
From the newsfeeds, the products and services advertised to us, job screening, risk analysis, facial recognition and to the results we get through search engines, human-curated algorithms sitting behind the scenes, ar... 详细信息
来源: 评论
Improvement of Mathematical Problem Solving Ability Through Problem Based learning Model In applied Mathematics Course II In Industrial Engineering  1
Improvement of Mathematical Problem Solving Ability Through ...
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1st South Aceh international conference on Engineering and Technology (SAICOET)
作者: Rusnanda, Resky Safwandi Polytech South Aceh Merdeka StKomplek Reklamasi Pantai Tapaktuan City 23751 Indonesia
Problem based learning model is applicable in applied Mathematics II course in order to obtain better students' problem-solving skill in mathematic. In this research, one can learn the differences of student perfo... 详细信息
来源: 评论
Early Detecting In-Hospital Cardiac Arrest Based on machine learning on Imbalanced data  7
Early Detecting In-Hospital Cardiac Arrest Based on Machine ...
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7th IEEE international conference on Healthcare Informatics (ICHI)
作者: Chang, Hsiao-Ko Wu, Cheng-Tse Liu, Ji-Han Lim, Wee Shin Wang, Hui-Chih Chiu, Shu-I Jang, Jyh-Shing Roger Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei Taiwan Natl Taiwan Univ Grad Inst Networking & Multimedia Taipei Taiwan Natl Taiwan Univ Hosp Dept Emergency Med Taipei Taiwan
In-hospital cardiac arrest (IHCA) diminish the survival rate of patients, despite most of the IHCA cases are preventable. More than 54% IHCA patient had abnormal clinical manifestation before they suffered a cardiac a... 详细信息
来源: 评论