[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Huang et al., 2016 - Google Patents

Parallel ensemble of online sequential extreme learning machine based on MapReduce

Huang et al., 2016

Document ID
3256293080865292630
Author
Huang S
Wang B
Qiu J
Yao J
Wang G
Yu G
Publication year
Publication venue
Neurocomputing

External Links

Snippet

In this era of big data, analyzing large scale data efficiently and accurately has become a challenging problem. As one of the ELM variants, online sequential extreme learning machine (OS-ELM) provides a method to analyze incremental data. Ensemble methods …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • G06F9/46Multiprogramming arrangements
    • G06F9/50Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061Partitioning or combining of resources
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/16Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce

Similar Documents

Publication Publication Date Title
Huang et al. Parallel ensemble of online sequential extreme learning machine based on MapReduce
Shao et al. Online multi-view clustering with incomplete views
Liu et al. Distributed multi-task relationship learning
Zhu et al. Dimensionality reduction by mixed kernel canonical correlation analysis
Maillo et al. A mapreduce-based k-nearest neighbor approach for big data classification
US9836701B2 (en) Distributed stage-wise parallel machine learning
Junaid et al. Modeling an optimized approach for load balancing in cloud
Li et al. CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis
Han et al. Signal processing and networking for big data applications
Kang et al. Fair graph mining
Duque Barrachina et al. A big data methodology for categorising technical support requests using Hadoop and Mahout
Matsuda et al. Benchmark for Personalized Federated Learning
Ivashko et al. Partition algorithm for association rules mining in BOINC–based enterprise desktop grid
Hajewski et al. Distributed SmSVM ensemble learning
Huang et al. An efficient parallel method for batched OS-ELM training using MapReduce
Ul Ahsaan et al. An empirical study of big data: Opportunities, challenges and technologies
Kamala et al. An optimal approach for social data analysis in Big Data
Dass et al. Amelioration of Big Data analytics by employing Big Data tools and techniques
Sundarakumar et al. An Approach in Big Data Analytics to Improve the Velocity of Unstructured Data Using MapReduce
Suthar et al. Machine learning techniques in Hadoop environment: A survey
Gupta et al. Evaluation of mapreduce-based distributed parallel machine learning algorithms
Kaur MAP REDUCE-MECHANISM TO MANAGE BIG VOLUME DATA SETS
Indira et al. Parallel clarans algorithm for recommendation system in multi-cloud environment
Khan A study of big data in cloud computing
Hasan et al. Predicting SPARQL query performance