Proceedings of ELM-2015 volume 2: theory, algorithms and applications (II)
Gespeichert in:
Körperschaft: | |
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Weitere Verfasser: | , , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
[Cham]
Springer
[2016]
|
Schriftenreihe: | Proceedings in adaptation, learning and optimization
volume 7 (2016) |
Schlagworte: | |
Online-Zugang: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Abstract Inhaltsverzeichnis |
Beschreibung: | 1 Online Ressource (ix, 516 Seiten) |
ISBN: | 9783319283739 |
DOI: | 10.1007/978-3-319-28373-9 |
Internformat
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adam_text | PROCEEDINGS OF ELM-2015 VOLUME 2
/
: 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.
PROCEEDINGS OF ELM-2015 VOLUME 2
/
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
LARGE-SCALE SCENE RECOGNITION BASED ON EXTREME LEARNING MACHINES
PARTIALLY CONNECTED ELM FOR FAST AND EFFECTIVE SCENE CLASSIFICATION
OPTIMIZATION
TWO-LAYER EXTREME LEARNING MACHINE FOR DIMENSION REDUCTION
DISTRIBUTED EXTREME LEARNING MACHINE WITH ALTERNATING DIRECTION METHOD
OF MULTIPLIER
AN ADAPTIVE ONLINE SEQUENTIAL EXTREME LEARNING MACHINE FOR REAL-TIME
TIDAL LEVEL PREDICTION
OPTIMIZATION OF OUTSOURCING ELM PROBLEMS IN CLOUD COMPUTING FROM
MULTI-PARTIES
H-MRST: A NOVEL FRAMEWORK FOR SUPPORT UNCERTAIN DATA RANGE QUERY USING
ELM
THE SVM-ELM MODEL BASED ON PARTICLE SWARM OPTIMIZATION
ELM-ML: STUDY ON MULTI-LABEL CLASSIFICATION USING EXTREME LEARNING
MACHINE
SENTIMENT ANALYSIS OF CHINESE MICRO BLOG BASED ON DNN AND ELM AND VECTOR
SPACE MODEL
SELF FORWARD AND INFORMATION DISSEMINATION PREDICTION RESEARCH IN SINA
MICROBLOG USING ELM
SPARSE CODING EXTREME LEARNING MACHINE FOR CLASSIFICATION
CONTINUOUS TOP-K REMARKABLE COMMENTS OVER TEXTUAL STREAMING DATA USING
ELM
ELM BASED REPRESENTATIONAL LEARNING FOR FAULT DIAGNOSIS OF WIND TURBINE
EQUIPMENT
PREDICTION OF PULP CONCENTRATION USING EXTREME LEARNING MACHINE
RATIONAL AND SELF-ADAPTIVE EVOLUTIONARY EXTREME LEARNING MACHINE FOR
ELECTRICITY PRICE FORECAST
CONTRACTIVE ML-ELM FOR INVARIANCE ROBUST FEATURE EXTRACTION
AUTOMATED HUMAN FACIAL EXPRESSION RECOGNITION USING EXTREME LEARNING
MACHINES
MULTI-MODAL DEEP EXTREME LEARNING MACHINE FOR ROBOTIC GRASPING
RECOGNITION
DENOISING DEEP EXTREME LEARNING MACHINES FOR SPARSE REPRESENTATION
EXTREME LEARNING MACHINE BASED POINT-OF-INTEREST RECOMMENDATION IN
LOCATION-BASED SOCIAL NETWORKS
THE GRANULE-BASED INTERVAL FORECAST FOR WIND SPEED
KELM : AN IMPROVED K-MEANS CLUSTERING METHOD USING EXTREME LEARNING
MACHINE
WIND POWER RAMP EVENTS CLASSIFICATION USING EXTREME LEARNING MACHINES
FACIAL EXPRESSION RECOGNITION BASED ON ENSEMBLE EXTREME LEARNING MACHINE
WITH EYE MOVEMENTS INFORMATION
CORRELATION BETWEEN EXTREME LEARNING MACHINE AND ENTORHINAL HIPPOCAMPAL
SYSTEM
RNA SECONDARY STRUCTURE PREDICTION USING EXTREME LEARNING MACHINE WITH
CLUSTERING UNDER-SAMPLING TECHNIQUE
MULTI-INSTANCE MULTI-LABEL LEARNING BY EXTREME LEARNING MACHINE
A RANDOMLY WEIGHTED GABOR NETWORK FOR VISUAL-THERMAL INFRARED FACE
RECOGNITION
DYNAMIC ADJUSTMENT OF HIDDEN LAYER STRUCTURE FOR CONVEX INCREMENTAL
EXTREME LEARNING MACHINE
ELMVIS+: IMPROVED NONLINEAR VISUALIZATION TECHNIQUE USING COSINE
DISTANCE AND EXTREME LEARNING MACHINES
ON MUTUAL INFORMATION OVER NON-EUCLIDEAN SPACES, DATA MINING AND DATA
PRIVACY LEVELS
PROBABILISTIC METHODS FOR MULTICLASS CLASSIFICATION PROBLEMS
A PRUNING ENSEMBLE MODEL OF EXTREME LEARNING MACHINE WITH L1/2
REGULARIZER
EVALUATING CONFIDENCE INTERVALS FOR ELM PREDICTIONS
REAL-TIME DRIVER FATIGUE DETECTION BASED ON ELM
A HIGH SPEED MULTI-LABEL CLASSIFIER BASED ON EXTREME LEARNING MACHINES
IMAGE SUPER-RESOLUTION BY PSOSEN OF LOCAL RECEPTIVE FIELDS BASED EXTREME
LEARNING MACHINE
SPARSE EXTREME LEARNING MACHINE FOR REGRESSION
WELM:EXTREME LEARNING MACHINE WITH WAVELET DYNAMIC CO-MOVEMENT
ANALYSIS IN HIGH-DIMENSIONAL TIME SERIES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author2 | Cao, Jiuwen Mao, Kezhi Wu, Q. M. Jonathan Lendasse, Amaury 1972- |
author2_role | edt edt edt edt |
author2_variant | j c jc k m km q m j w qmj qmjw a l al |
author_GND | (DE-588)142785679 (DE-588)17393689X |
author_corporate | The International Conference on Extreme Learning Machines Hangdhou |
author_corporate_role | aut |
author_facet | Cao, Jiuwen Mao, Kezhi Wu, Q. M. Jonathan Lendasse, Amaury 1972- The International Conference on Extreme Learning Machines Hangdhou |
author_sort | The International Conference on Extreme Learning Machines Hangdhou |
building | Verbundindex |
bvnumber | BV043408046 |
collection | ZDB-2-ENG |
ctrlnum | (OCoLC)934218078 (DE-599)BVBBV043408046 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-319-28373-9 |
format | Electronic Conference Proceeding eBook |
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genre_facet | Konferenzschrift |
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indexdate | 2024-08-01T12:13:02Z |
institution | BVB |
institution_GND | (DE-588)1084011700 |
isbn | 9783319283739 |
language | English |
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oclc_num | 934218078 |
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owner_facet | DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-573 DE-859 DE-863 DE-BY-FWS DE-634 DE-92 DE-862 DE-BY-FWS DE-861 DE-706 |
physical | 1 Online Ressource (ix, 516 Seiten) |
psigel | ZDB-2-ENG ZDB-2-ENG_2016 |
publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Springer |
record_format | marc |
series | Proceedings in adaptation, learning and optimization |
series2 | Proceedings in adaptation, learning and optimization |
spellingShingle | Proceedings of ELM-2015 volume 2 theory, algorithms and applications (II) 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 |
subject_GND | (DE-588)1071861417 |
title | Proceedings of ELM-2015 volume 2 theory, algorithms and applications (II) |
title_auth | Proceedings of ELM-2015 volume 2 theory, algorithms and applications (II) |
title_exact_search | Proceedings of ELM-2015 volume 2 theory, algorithms and applications (II) |
title_full | Proceedings of ELM-2015 volume 2 theory, algorithms and applications (II) Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse editors |
title_fullStr | Proceedings of ELM-2015 volume 2 theory, algorithms and applications (II) Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse editors |
title_full_unstemmed | Proceedings of ELM-2015 volume 2 theory, algorithms and applications (II) Jiuwen Cao, Kezhi Mao, Jonathan Wu, Amaury Lendasse editors |
title_short | Proceedings of ELM-2015 volume 2 |
title_sort | proceedings of elm 2015 volume 2 theory algorithms and applications ii |
title_sub | theory, algorithms and applications (II) |
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 Konferenzschrift |
url | https://doi.org/10.1007/978-3-319-28373-9 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028826392&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=028826392&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV042485312 |
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