Proceedings of ELM-2015 Volume 1: theory, algorithms and applications (I)
Saved in:
| Other Authors: | , , , |
|---|---|
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
[Cham]
Springer
[2016]
|
| Series: | Proceedings in adaptation, learning and optimization
Volume 6 |
| Subjects: | |
| Online Access: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online Ressource |
| ISBN: | 9783319283975 |
| DOI: | 10.1007/978-3-319-28397-5 |
Staff View
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Record in the Search Index
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| adam_text | PROCEEDINGS OF ELM-2015 VOLUME 1
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
EFFICIENT BATCH PARALLEL ONLINE SEQUENTIAL EXTREME LEARNING MACHINE
ALGORITHM BASED ON MAPREDUCE
FIXED-POINT EVALUATION OF EXTREME LEARNING MACHINE FOR CLASSIFICATION
MULTI-LAYER ONLINE SEQUENTIAL EXTREME LEARNING MACHINE FOR IMAGE
CLASSIFICATION
ELM MEETS URBAN COMPUTING: ENSEMBLE URBAN DATA FOR SMART CITY
APPLICATIONS
LOCAL AND GLOBAL UNSUPERVISED KERNEL EXTREME LEARNING MACHINE AND ITS
APPLICATION IN NONLINEAR PROCESS FAULT DETECTION
PARALLEL MULTI-GRAPH CLASSIFICATION USING EXTREME LEARNING MACHINE AND
MAPREDUCE
EXTREME LEARNING MACHINE FOR LARGE-SCALE GRAPH CLASSIFICATION BASED ON
MAPREDUCE
THE DISTANCE-BASED REPRESENTATIVE SKYLINE CALCULATION USING UNSUPERVISED
EXTREME LEARNING MACHINES
MULTI-LABEL TEXT CATEGORIZATION USING L21-NORMMINIMIZATION EXTREME
LEARNING MACHINE
CLUSTER-BASED OUTLIER DETECTION USING UNSUPERVISED EXTREME LEARNING
MACHINES
SEGMENTATION OF THE LEFT VENTRICLE IN CARDIAC MRI USING AN ELM MODEL
CHANNEL ESTIMATION BASED ON EXTREME LEARNING MACHINE FOR HIGH SPEED
ENVIRONMENTS
MIMO MODELING BASED ON EXTREME LEARNING MACHINE
GRAPH CLASSIFICATION BASED ON SPARSE GRAPH FEATURE SELECTION AND EXTREME
LEARNING MACHINE
TIME SERIES PREDICTION BASED ON ONLINE SEQUENTIAL IMPROVED ERROR
MINIMIZED EXTREME LEARNING MACHINE
ADAPTIVE INPUT SHAPING FOR FLEXIBLE SYSTEMS USING AN EXTREME LEARNING
MACHINE ALGORITHM IDENTIFICATION
KERNEL BASED SEMI-SUPERVISED EXTREME LEARNING MACHINE AND THE
APPLICATION IN TRAFFIC CONGESTION EVALUATION
IMPROVEMENT OF ELM ALGORITHM FOR MULTI-OBJECT IDENTIFICATION IN GESTURE
INTERACTION
SVM AND ELM: WHO WINS? OBJECT RECOGNITION WITH DEEP CONVOLUTIONAL
FEATURES FROM IMAGENET
LEARNING WITH SIMILARITY FUNCTIONS: A NOVEL DESIGN FOR THE EXTREME
LEARNING MACHINE
A SEMI-SUPERVISED LOW RANK KERNEL LEARNING ALGORITHM VIA EXTREME
LEARNING MACHINE
APPLICATION OF EXTREME LEARNING MACHINE ON LARGE SCALE TRAFFIC
CONGESTION PREDICTION
EXTREME LEARNING MACHINE-GUIDED COLLABORATIVE CODING FOR REMOTE SENSING
IMAGE CLASSIFICATION
DISTRIBUTED WEIGHTED EXTREME LEARNING MACHINE FOR BIG IMBALANCED DATA
LEARNING
NMR IMAGE SEGMENTATION BASED ON UNSUPERVISED EXTREME LEARNING MACHINE
ANNOTATING LOCATION SEMANTIC TAGS IN LBSN USING EXTREME LEARNING MACHINE
FEATURE EXTRACTION OF MOTOR IMAGERY EEG BASED ON EXTREME LEARNING
MACHINE AUTO-ENCODER
MULTIMODAL FUSION USING KERNEL-BASED ELM FOR VIDEO EMOTION RECOGNITION
EQUALITY CONSTRAINED-OPTIMIZATION-BASED SEMI-SUPERVISED ELM FOR MODELING
SIGNAL STRENGTH TEMPORAL VARIATION IN INDOOR LOCATION ESTIMATION EXTREME
LEARNING MACHINE WITH GAUSSIAN KERNEL BASED RELEVANCE FEEDBACK SCHEME
FOR IMAGE RETRIEVAL
ROUTING TREE MAINTENANCE BASED ON TRAJECTORY PREDICTION IN MOBILE SENSOR
NETWORKS
TWO-STAGE HYBRID EXTREME LEARNING MACHINE FOR SEQUENTIAL IMBALANCED DATA
FEATURE SELECTION AND MODELLING OF A STEAM TURBINE FROM A COMBINED HEAT
AND POWER PLANT USING ELM
ON THE CONSTRUCTION OF EXTREME LEARNING MACHINE FOR ONE CLASS CLASSIFIER
RECORD LINKAGE FOR EVENT IDENTIFICATION IN XML FEEDS STREAM USING ELM
TIMELINESS ONLINE REGULARIZED EXTREME LEARNING MACHINE
AN EFFICIENT HIGH-DIMENSIONAL BIG DATA STORAGE STRUCTURE BASED ON US-ELM
AN ENHANCED EXTREME LEARNING MACHINE FOR EFFICIENT SMALL SAMPLE
CLASSIFICATION
CODE GENERATION TECHNOLOGY OF DIGITAL SATELLITE
ELM-BASED VELOCITY INVERSION FOR SANDSTONE RESERVOIR IN YANQI GAS-FIELD
CLASS-CONSTRAINED EXTREME LEARNING MACHINE.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
PROCEEDINGS OF ELM-2015 VOLUME 1
/
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK CONTAINS SOME SELECTED PAPERS FROM THE INTERNATIONAL
CONFERENCE ON EXTREME LEARNING MACHINE 2015, WHICH WAS HELD IN HANGZHOU,
CHINA, DECEMBER 15-17, 2015. THIS CONFERENCE BROUGHT TOGETHER
RESEARCHERS AND ENGINEERS TO SHARE AND EXCHANGE R&D EXPERIENCE ON BOTH
THEORETICAL STUDIES AND PRACTICAL APPLICATIONS OF THE EXTREME LEARNING
MACHINE (ELM) TECHNIQUE AND BRAIN LEARNING. THIS BOOK COVERS THEORIES,
ALGORITHMS AD APPLICATIONS OF ELM. IT GIVES READERS A GLANCE OF THE MOST
RECENT ADVANCES OF ELM.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-319-28397-5 |
| format | Electronic Conference Proceeding eBook |
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| series | Proceedings in adaptation, learning and optimization |
| series2 | Proceedings in adaptation, learning and optimization |
| spellingShingle | Proceedings of ELM-2015 Volume 1 theory, algorithms and applications (I) Proceedings in adaptation, learning and optimization Engineering Data mining Artificial intelligence Bioinformatics Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Computational Biology/Bioinformatics Data Mining and Knowledge Discovery Ingenieurwissenschaften Künstliche Intelligenz |
| title | Proceedings of ELM-2015 Volume 1 theory, algorithms and applications (I) |
| title_auth | Proceedings of ELM-2015 Volume 1 theory, algorithms and applications (I) |
| title_exact_search | Proceedings of ELM-2015 Volume 1 theory, algorithms and applications (I) |
| title_full | Proceedings of ELM-2015 Volume 1 theory, algorithms and applications (I) Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse editor |
| title_fullStr | Proceedings of ELM-2015 Volume 1 theory, algorithms and applications (I) Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse editor |
| title_full_unstemmed | Proceedings of ELM-2015 Volume 1 theory, algorithms and applications (I) Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse editor |
| title_short | Proceedings of ELM-2015 Volume 1 |
| title_sort | proceedings of elm 2015 volume 1 theory algorithms and applications i |
| title_sub | theory, algorithms and applications (I) |
| topic | Engineering Data mining Artificial intelligence Bioinformatics Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Computational Biology/Bioinformatics Data Mining and Knowledge Discovery Ingenieurwissenschaften Künstliche Intelligenz |
| topic_facet | Engineering Data mining Artificial intelligence Bioinformatics Computational intelligence Computational Intelligence Artificial Intelligence (incl. Robotics) Computational Biology/Bioinformatics Data Mining and Knowledge Discovery Ingenieurwissenschaften Künstliche Intelligenz |
| url | https://doi.org/10.1007/978-3-319-28397-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028729777&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028729777&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV042485312 |
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