Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Machine learning for networking = fi...
~
Workshop on the Preservation of Stability under Discretization ((2001 :)
Machine learning for networking = first International Conference, MLN 2018, Paris, France, November 27-29, 2018 : revised selected papers /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Machine learning for networking/ edited by Eric Renault, Paul Muhlethaler, Selma Boumerdassi.
Reminder of title:
first International Conference, MLN 2018, Paris, France, November 27-29, 2018 : revised selected papers /
remainder title:
MLN 2018
other author:
Renault, Eric.
corporate name:
Workshop on the Preservation of Stability under Discretization
Published:
Cham :Springer International Publishing : : 2019.,
Description:
xiii, 388 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Machine learning - Congresses. -
Online resource:
https://doi.org/10.1007/978-3-030-19945-6
ISBN:
9783030199456
Machine learning for networking = first International Conference, MLN 2018, Paris, France, November 27-29, 2018 : revised selected papers /
Machine learning for networking
first International Conference, MLN 2018, Paris, France, November 27-29, 2018 : revised selected papers /[electronic resource] :MLN 2018edited by Eric Renault, Paul Muhlethaler, Selma Boumerdassi. - Cham :Springer International Publishing :2019. - xiii, 388 p. :ill., digital ;24 cm. - Lecture notes in computer science,114070302-9743 ;. - Lecture notes in computer science ;6140..
Learning Concave-Convex Profiles of Data Transport Over Dedicated Connections -- Towards Analyzing C-ITS Security Data -- Towards a Statistical Approach for User Classification in Twitter -- RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks -- Building a Wide-Area File Transfer Performance Predictor: An Empirical Study -- Advanced Hybrid Technique in Detecting Cloud Web Application's Attacks -- Machine-Learned Classifiers for Protocol Selection on a Shared Network -- Common Structures in Resource Management as Driver for Reinforcement Learning: a Survey and Research Tracks -- Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations -- Delmu: A Deep Learning Approach to Maximizing the Utility of Virtualised Millimetre-Wave Backhauls -- Malware Detection System Based on an In-depth Analysis of the Portable Executable Headers -- DNS Traffic Forecasting Using Deep Neural Networks -- Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networks -- Touchless Recognition of Hand Gesture Digits and English Characters Using Convolutional Neural Networks -- LSTM Recurrent Neural Network for Anomaly Detection in Cellular Mobile Networks -- Towards a Better Compromise Between Shallow and Deep CNN for Binary Classification Problems of Unstructured Data -- Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks -- Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting -- The Comment of BBS: How Investor Sentiment Affects a Share Market of China -- A Hybrid Neural Network Approach for Lung Cancer Classification with Gene Expression Dataset and Prior Biological Knowledge -- Plant Leaf Disease Detection and Classification Using Particle Swarm Optimization -- A Game Theory Approach for Intrusion Prevention Systems -- WSN Heterogeneous Architecture Platform for IoT -- An IoT Framework for Detecting Movement Within Indoor Environments -- A Hybrid Architecture for Cooperative UAV and USV Swarm Vehicles -- Detecting Suspicious Transactions in Smart Living Spaces -- Intelligent ERP Based Multi Agent Systems and Cloud Computing.
This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018. The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: Deep and reinforcement learning; Pattern recognition and classification for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection; Optimization and new innovative machine learning methods; Performance analysis of machine learning algorithms; Experimental evaluations of machine learning; Data mining in heterogeneous networks; Distributed and decentralized machine learning algorithms; Intelligent cloud-support communications, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.
ISBN: 9783030199456
Standard No.: 10.1007/978-3-030-19945-6doiSubjects--Topical Terms:
574552
Machine learning
--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning for networking = first International Conference, MLN 2018, Paris, France, November 27-29, 2018 : revised selected papers /
LDR
:04534nam a2200373 a 4500
001
940307
003
DE-He213
005
20190509141424.0
006
m d
007
cr nn 008maaau
008
200417s2019 gw s 0 eng d
020
$a
9783030199456
$q
(electronic bk.)
020
$a
9783030199449
$q
(paper)
024
7
$a
10.1007/978-3-030-19945-6
$2
doi
035
$a
978-3-030-19945-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
UNF
$2
bicssc
072
7
$a
COM021030
$2
bisacsh
072
7
$a
UNF
$2
thema
072
7
$a
UYQE
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.M685 2018
111
2
$a
Workshop on the Preservation of Stability under Discretization
$d
(2001 :
$c
Fort Collins, Colo.)
$3
527686
245
1 0
$a
Machine learning for networking
$h
[electronic resource] :
$b
first International Conference, MLN 2018, Paris, France, November 27-29, 2018 : revised selected papers /
$c
edited by Eric Renault, Paul Muhlethaler, Selma Boumerdassi.
246
3
$a
MLN 2018
260
$a
Cham :
$c
2019.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xiii, 388 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
11407
490
1
$a
Information systems and applications, incl. internet/web, and HCI
505
0
$a
Learning Concave-Convex Profiles of Data Transport Over Dedicated Connections -- Towards Analyzing C-ITS Security Data -- Towards a Statistical Approach for User Classification in Twitter -- RILNET: A Reinforcement Learning Based Load Balancing Approach for Datacenter Networks -- Building a Wide-Area File Transfer Performance Predictor: An Empirical Study -- Advanced Hybrid Technique in Detecting Cloud Web Application's Attacks -- Machine-Learned Classifiers for Protocol Selection on a Shared Network -- Common Structures in Resource Management as Driver for Reinforcement Learning: a Survey and Research Tracks -- Inverse Kinematics Using Arduino and Unity for People with Motor Skill Limitations -- Delmu: A Deep Learning Approach to Maximizing the Utility of Virtualised Millimetre-Wave Backhauls -- Malware Detection System Based on an In-depth Analysis of the Portable Executable Headers -- DNS Traffic Forecasting Using Deep Neural Networks -- Energy-Based Connected Dominating Set for Data Aggregation for Intelligent Wireless Sensor Networks -- Touchless Recognition of Hand Gesture Digits and English Characters Using Convolutional Neural Networks -- LSTM Recurrent Neural Network for Anomaly Detection in Cellular Mobile Networks -- Towards a Better Compromise Between Shallow and Deep CNN for Binary Classification Problems of Unstructured Data -- Reinforcement Learning Based Routing Protocols Analysis for Mobile Ad-Hoc Networks -- Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting -- The Comment of BBS: How Investor Sentiment Affects a Share Market of China -- A Hybrid Neural Network Approach for Lung Cancer Classification with Gene Expression Dataset and Prior Biological Knowledge -- Plant Leaf Disease Detection and Classification Using Particle Swarm Optimization -- A Game Theory Approach for Intrusion Prevention Systems -- WSN Heterogeneous Architecture Platform for IoT -- An IoT Framework for Detecting Movement Within Indoor Environments -- A Hybrid Architecture for Cooperative UAV and USV Swarm Vehicles -- Detecting Suspicious Transactions in Smart Living Spaces -- Intelligent ERP Based Multi Agent Systems and Cloud Computing.
520
$a
This book constitutes the thoroughly refereed proceedings of the First International Conference on Machine Learning for Networking, MLN 2018, held in Paris, France, in November 2018. The 22 revised full papers included in the volume were carefully reviewed and selected from 48 submissions. They present new trends in the following topics: Deep and reinforcement learning; Pattern recognition and classification for networks; Machine learning for network slicing optimization, 5G system, user behavior prediction, multimedia, IoT, security and protection; Optimization and new innovative machine learning methods; Performance analysis of machine learning algorithms; Experimental evaluations of machine learning; Data mining in heterogeneous networks; Distributed and decentralized machine learning algorithms; Intelligent cloud-support communications, resource allocation, energy-aware/green communications, software defined networks, cooperative networks, positioning and navigation systems, wireless communications, wireless sensor networks, underwater sensor networks.
650
0
$a
Machine learning
$v
Congresses.
$3
574552
$3
727808
650
1 4
$a
Data Mining and Knowledge Discovery.
$3
677765
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Computer Communication Networks.
$3
669310
650
2 4
$a
Special Purpose and Application-Based Systems.
$3
669833
650
2 4
$a
Information Systems Applications (incl. Internet)
$3
815116
700
1
$a
Renault, Eric.
$3
815691
700
1
$a
Muhlethaler, Paul.
$3
1226858
700
1
$a
Boumerdassi, Selma.
$3
1069412
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
6140.
$3
744199
830
0
$a
Information systems and applications, incl. internet/web, and HCI.
$3
1208311
856
4 0
$u
https://doi.org/10.1007/978-3-030-19945-6
950
$a
Computer Science (Springer-11645)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login