tag :: learning | BibSonomy

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1Chebifier: Automating semantic classification in ChEBI to accelerate data-driven discovery
M. Glauer, F. Neuhaus, S. Flügel, M. Wosny, T. Mossakowski, A. Memariani, J. Schwerdt, и J. Hastings. Digital Discovery, (2024)
4 дней назад , @tillmo
deep
learning
loss
myown
ontology
semantic
deeplearninglossmyownontologysemantic
(0)
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1AI-based Methods of Dynamic Pricing in E-Commerce: A Systematization of Literature
C. Tomitza, U. Ibrahimli, и L. Herm. (forthcoming)
9 дней назад , @winkelmann
Artificial
Dynamic
E-Commerce
Intelligence
Learning
Machine
Pricing
ArtificialDynamicE-CommerceIntelligenceLearningMachinePricing
(0)
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1Application of machine learning in tax prediction: A review with practical approaches
O. Akinrinola, W. Addy, A. Ajayi-Nifise, O. Odeyemi, и T. Falaiye. Global Journal of Engineering and Technology Advances, 18 (2): 102–117 (апреля 2024)
18 дней назад , @gjetajournal
Learning
Machine
LearningMachine
(0)
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3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale
M. Seufert, K. Dietz, N. Wehner, S. Geißler, J. Schüler, M. Wolz, A. Hotho, P. Casas, T. Hoßfeld, и A. Feldmann. IEEE Transactions on Network and Service Management, (2024)
21 дней назад , @dmir
myown
monitoring
machine
2024
learning
network
traffic
from:hotho
myownmonitoringmachine2024learningnetworktrafficfrom:hotho
(0)
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1BRIEF COMMENTARY: USING A LOGIC MODEL TO INTEGRATE PUBLIC HEALTH INFORMATICS INTO REFINEMENTS OF PUBLIC HEALTH SURVEILLANCE SYSTEM
G. Fant. (февраля 2024)
24 дней назад , @jeffrenna
health
informatics
learning
healthinformaticslearning
(0)
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3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale
M. Seufert, K. Dietz, N. Wehner, S. Geißler, J. Schüler, M. Wolz, A. Hotho, P. Casas, T. Hoßfeld, и A. Feldmann. IEEE Transactions on Network and Service Management, (2024)
25 дней назад , @hotho
2024
learning
machine
monitoring
myown
network
traffic
2024learningmachinemonitoringmyownnetworktraffic
(0)
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1Machine Learning Course in Pune
J. Howard, C. Sparkman, H. Cohen, G. Green, и H. Stanislaw. Research in Developmental Disabilities, 26 (4): 359--383 (2005)
29 дней назад , @shivanis09
Course
Learning
Machine
Pune
in
CourseLearningMachinePunein
(0)
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2Prediction of user listening contexts for music playlists
J. Choi, A. Khlif, и E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), стр. 23--27. Online, Association for Computational Linguistics, (2020)
один месяц назад , @sop2-ffzg
User
Multimodal
Semantic
language
Evaluation
Prediction
Data
aggregation
learning
analysis
Natural
Feature
from:kamber
Machine
Playlist
activities
curation
context
prediction
metrics
UserMultimodalSemanticlanguageEvaluationPredictionDataaggregationlearninganalysisNaturalFeaturefrom:kamberMachinePlaylistactivitiescurationcontextpredictionmetrics
(0)
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2Multi-agent system application for music features extraction, meta-classification and context analysis
J. Perez-Marcos, D. Jimenez-Bravo, J. De Paz, G. Villarrubia Gonzalez, V. Lopez, и A. Gil. Knowledge and Information Systems, 62 (1): 401--422 (01.01.2020)
один месяц назад , @sop2-ffzg
Auto-classification
Social
Performance
Multi-label
analysis
intelligence
classification
Meta-classifiers
Single-label
Distributed
Emotional
Music
processing
Genre
information
Artificial
Twitter
recommendation
learning
networks
from:kamber
Machine
Multi-agent
systems
Contextual
Last.fm
evaluation
Multi-classification
Auto-classificationSocialPerformanceMulti-labelanalysisintelligenceclassificationMeta-classifiersSingle-labelDistributedEmotionalMusicprocessingGenreinformationArtificialTwitterrecommendationlearningnetworksfrom:kamberMachineMulti-agentsystemsContextualLast.fmevaluationMulti-classification
(0)
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1Learning by design: Nourishing expertise and interventions
S. McKenney, J. Voogt, и P. Kirschner. Teacher learning in changing contexts, Routledge, (2022)
один месяц назад , @yish
LDS
design
development
education
learning
professional
teacher
technology
LDSdesigndevelopmenteducationlearningprofessionalteachertechnology
(0)
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3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach
M. Pichl, E. Zangerle, и G. Specht. Int. J. Multimed. Data Eng. Manag., 8 (4): 44–59 (01.10.2017)
один месяц назад , @sop2-ffzg
Analysis
Learning
Content
Music
Retrieval
Data
Information
from:kamber
Machine
User-Generated
AnalysisLearningContentMusicRetrievalDataInformationfrom:kamberMachineUser-Generated
(0)
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2Prediction of user listening contexts for music playlists
J. Choi, A. Khlif, и E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), стр. 23--27. Online, Association for Computational Linguistics, (2020)
один месяц назад , @kamber
Data
Evaluation
Feature
Machine
Multimodal
Natural
Playlist
Prediction
Semantic
User
activities
aggregation
analysis
context
curation
language
learning
metrics
prediction
DataEvaluationFeatureMachineMultimodalNaturalPlaylistPredictionSemanticUseractivitiesaggregationanalysiscontextcurationlanguagelearningmetricsprediction
(0)
копироватьудалитьдобавить публикацию в буфер
2Multi-agent system application for music features extraction, meta-classification and context analysis
J. Perez-Marcos, D. Jimenez-Bravo, J. De Paz, G. Villarrubia Gonzalez, V. Lopez, и A. Gil. Knowledge and Information Systems, 62 (1): 401--422 (01.01.2020)
один месяц назад , @kamber
Artificial
Auto-classification
Contextual
Distributed
Emotional
Genre
Last.fm
Machine
Meta-classifiers
Multi-agent
Multi-classification
Multi-label
Music
Performance
Single-label
Social
Twitter
analysis
classification
evaluation
information
intelligence
learning
networks
processing
recommendation
systems
ArtificialAuto-classificationContextualDistributedEmotionalGenreLast.fmMachineMeta-classifiersMulti-agentMulti-classificationMulti-labelMusicPerformanceSingle-labelSocialTwitteranalysisclassificationevaluationinformationintelligencelearningnetworksprocessingrecommendationsystems
(0)
копироватьудалитьдобавить публикацию в буфер
3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach
M. Pichl, E. Zangerle, и G. Specht. Int. J. Multimed. Data Eng. Manag., 8 (4): 44–59 (01.10.2017)
один месяц назад , @kamber
Analysis
Content
Data
Information
Learning
Machine
Music
Retrieval
User-Generated
AnalysisContentDataInformationLearningMachineMusicRetrievalUser-Generated
(0)
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1Sentiment Analysis Classification of ChatGPT on Twitter Big Data in Indonesia Using Fast R-CNN
S. Pipin, F. Sinaga, S. Winardi, и M. Hakim. JURNAL MEDIA INFORMATIKA BUDIDARMA, 7 (4): 2137-2148 (2023)
один месяц назад , @siopipin
Analysis
ChatGPT
Data
Deep
Fast
Learning
R-CNN
Sentiment
Twitter
myown
AnalysisChatGPTDataDeepFastLearningR-CNNSentimentTwittermyown
(0)
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1Opportunities for the Creation of E-Learning Content in the Educational Process
2023. CENTRAL ASIAN JOURNAL OF ARTS AND DESIGN, 4 (12): 4-8 (ноября 2023)
один месяц назад , @centralasian_20
E-learning,
digital
distance
educational
electronic
information
learning
resources,
technologies,
technology
E-learning,digitaldistanceeducationalelectronicinformationlearningresources,technologies,technology
(0)
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1Composite Materials: Workpackage 3: Designing joint curriculum: Out 3.2: Learning materials
J. Krizbergs, и V. Gutakovskis. Technical University, Riga, (2016)
один месяц назад , @glonga
2016
Composite
Curriculum
Designing
Joint
Learning
Material
2016CompositeCurriculumDesigningJointLearningMaterial
(0)
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2Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding
C. Nivarthi, и B. Sick. International Conference on Machine Learning and Applications (ICMLA), стр. 1444--1450. IEEE, (2023)
один месяц назад , @ies
imported
itegpub
isac-www
few-shot
learning
anomaly
detection
temporal
attention
dynamic
thresholding
importeditegpubisac-wwwfew-shotlearninganomalydetectiontemporalattentiondynamicthresholding
(0)
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4LLaMA: Open and Efficient Foundation Language Models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar и 4 other автор(ы). (2023)
один месяц назад , @boggog
deep
learning
ml
nlp
deeplearningmlnlp
(0)
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2Adam: A Method for Stochastic Optimization
D. Kingma, и J. Ba. (2017)
один месяц назад , @boggog
deep
learning
ml
deeplearningml
(0)
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публикации (спрятать)5432
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1Chebifier: Automating semantic classification in ChEBI to accelerate data-driven discovery

1AI-based Methods of Dynamic Pricing in E-Commerce: A Systematization of Literature

1Application of machine learning in tax prediction: A review with practical approaches

3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale

1BRIEF COMMENTARY: USING A LOGIC MODEL TO INTEGRATE PUBLIC HEALTH INFORMATICS INTO REFINEMENTS OF PUBLIC HEALTH SURVEILLANCE SYSTEM

3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale

1Machine Learning Course in Pune

2Prediction of user listening contexts for music playlists

2Multi-agent system application for music features extraction, meta-classification and context analysis

1Learning by design: Nourishing expertise and interventions

3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach

2Prediction of user listening contexts for music playlists

2Multi-agent system application for music features extraction, meta-classification and context analysis

3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach

1Sentiment Analysis Classification of ChatGPT on Twitter Big Data in Indonesia Using Fast R-CNN

1Opportunities for the Creation of E-Learning Content in the Educational Process

1Composite Materials: Workpackage 3: Designing joint curriculum: Out 3.2: Learning materials

2Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding

4LLaMA: Open and Efficient Foundation Language Models

2Adam: A Method for Stochastic Optimization

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