Soft computing in machine learning:
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham [u.a.]
Springer
2014
|
| Series: | Advances in intelligent systems and computing
273 |
| Subjects: | |
| Online Access: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9783319055336 |
| DOI: | 10.1007/978-3-319-05533-6 |
Staff View
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Record in the Search Index
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| adam_text | SOFT COMPUTING IN MACHINE LEARNING
/
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
SUDDEN ILLUMINATION CHANGE DETECTION AND IMAGE CONTRAST ENHANCEMENT
FRAME CONCEPT FOR GENERATOR OF ELECTRONIC EDUCATIONAL PUBLICATIONS
INTELLIGENT CALL TRIAGE SYSTEM WITH ALGORITHM COMBINING DECISION-TREE
AND SVM
RECOGNITION OF ROCKS AT URANIUM DEPOSITS BY USING A FEW METHODS OF
MACHINE LEARNING
MORE FASTER SELF-ORGANIZING MAPS BY GENERAL PURPOSE ON GRAPHICS
PROCESSING UNITS
ANALYSIS OF LOCAL CONCERTS USING FACEBOOK ADAPTING THE MATHEMATICAL
MODEL OF HIT PHENOMENA
HANDS AND ARMS MOTION ESTIMATION OF A CAR DRIVER WITH DEPTH IMAGE SENSOR
BY USING PARTICLE fiLTER
SNR IMPROVEMENT OF AN OPTICAL WAVE MICROPHONE USING A WAVELET NETWORK
ORIGIN OF KANIZSA TRIANGLE ILLUSION
LTS-SVMR FOR MODELING OF NONLINEAR SYSTEMS WITH NOISE AND OUTLIERS
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
SOFT COMPUTING IN MACHINE LEARNING
/
: 2014
ABSTRACT / INHALTSTEXT
AS USERS OR CONSUMERS ARE NOW DEMANDING SMARTER DEVICES, INTELLIGENT
SYSTEMS ARE REVOLUTIONIZING BY UTILIZING MACHINE LEARNING. MACHINE
LEARNING AS PART OF INTELLIGENT SYSTEMS IS ALREADY ONE OF THE MOST
CRITICAL COMPONENTS IN EVERYDAY TOOLS RANGING FROM SEARCH ENGINES AND
CREDIT CARD FRAUD DETECTION TO STOCK MARKET ANALYSIS. YOU CAN TRAIN
MACHINES TO PERFORM SOME THINGS, SO THAT THEY CAN AUTOMATICALLY DETECT,
DIAGNOSE, AND SOLVE A VARIETY OF PROBLEMS. THE INTELLIGENT SYSTEMS HAVE
MADE RAPID PROGRESS IN DEVELOPING THE STATE OF THE ART IN MACHINE
LEARNING BASED ON SMART AND DEEP PERCEPTION. USING MACHINE LEARNING, THE
INTELLIGENT SYSTEMS MAKE WIDELY APPLICATIONS IN AUTOMATED SPEECH
RECOGNITION, NATURAL LANGUAGE PROCESSING, MEDICAL DIAGNOSIS,
BIOINFORMATICS, AND ROBOT LOCOMOTION. THIS BOOK AIMS AT INTRODUCING HOW
TO TREAT A SUBSTANTIAL AMOUNT OF DATA, TO TEACH MACHINES AND TO IMPROVE
DECISION MAKING MODELS. AND THIS BOOK SPECIALIZES IN THE DEVELOPMENTS OF
ADVANCED INTELLIGENT SYSTEMS THROUGH MACHINE LEARNING. IT CONSISTS OF 11
CONTRIBUTIONS THAT FEATURES ILLUMINATION CHANGE DETECTION, GENERATOR OF
ELECTRONIC EDUCATIONAL PUBLICATIONS, INTELLIGENT CALL TRIAGE SYSTEM,
RECOGNITION OF ROCKS AT URANIUM DEPOSITS, GRAPHICS PROCESSING UNITS,
MATHEMATICAL MODEL OF HIT PHENOMENA, SELECTION AND MUTATION IN GENETIC
ALGORITHM, HANDS AND ARMS MOTION ESTIMATION, APPLICATION OF WAVELET
NETWORK, KANIZSA TRIANGLE ILLUSION, AND SUPPORT VECTOR MACHINE
REGRESSION. ALSO, IT DESCRIBES HOW TO APPLY THE MACHINE LEARNING FOR THE
INTELLIGENT SYSTEMS. THIS EDITION IS PUBLISHED IN ORIGINAL, PEER
REVIEWED CONTRIBUTIONS COVERING FROM INITIAL DESIGN TO FINAL PROTOTYPES
AND VERIFICATIONS.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| indexdate | 2025-02-20T06:39:06Z |
| institution | BVB |
| isbn | 9783319055336 |
| language | English |
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| publisher | Springer |
| record_format | marc |
| series | Advances in intelligent systems and computing |
| series2 | Advances in intelligent systems and computing |
| spellingShingle | Soft computing in machine learning Advances in intelligent systems and computing Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Engineering |
| title | Soft computing in machine learning |
| title_auth | Soft computing in machine learning |
| title_exact_search | Soft computing in machine learning |
| title_full | Soft computing in machine learning Sang-Yong Rhee ..., eds. |
| title_fullStr | Soft computing in machine learning Sang-Yong Rhee ..., eds. |
| title_full_unstemmed | Soft computing in machine learning Sang-Yong Rhee ..., eds. |
| title_short | Soft computing in machine learning |
| title_sort | soft computing in machine learning |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Engineering |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Artificial intelligence Engineering |
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