tag :: learning deep machine

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1Goal-oriented sensitivity analysis of hyperparameters in deep learning
http://hal.science/hal-03128298v5
a year ago by @attika
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Scientific
deep
hyperparameter
learning
machine
optimization
Scientificdeephyperparameterlearningmachineoptimization
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1The Predictive Privacy Project - Rainer Mühlhoff
Data Protection in the Context of Big Data and AI
2 years ago by @hotho
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Datenschutz
big
data
deep
learning
machine
ml
predictive
privacy
Datenschutzbigdatadeeplearningmachinemlpredictiveprivacy
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1Machine Learning: TensorFlow-Benchmarks auf MacBooks mit M1 Pro und M1 Max | heise online
https://www.heise.de/tests/Machine-Learning-TensorFlow-Benchmarks-auf-MacBooks-mit-M1-Pro-und-M1-Max-6328476.html?seite=all
3 years ago by @hotho
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deep
learning
m1
mac
macbook
machine
network
neural
nn
tensorflow
deeplearningm1macmacbookmachinenetworkneuralnntensorflow
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1How to use Data Scaling Improve Deep Learning Model Stability and Performance
https://machinelearningmastery.com/how-to-improve-neural-network-stability-and-modeling-performance-with-data-scaling/
5 years ago by @becker
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deep
learning
scaling
input
output
data
machine
project
butterfly
deeplearningscalinginputoutputdatamachineprojectbutterfly
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1KI made in Germany
https://www.plattform-lernende-systeme.de/files/Downloads/Publikationen/AG1_Whitepaper_280619.pdf
5 years ago by @hotho
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Germany
ai
deep
ki
learning
machine
ml
paper
white
Germanyaideepkilearningmachinemlpaperwhite
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publications (hide)37
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1Classification of Lumpy Skin Disease using Principal Component Analysis PCA based Supervised Machine Learning
R. Soni. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (3): 648-653 (June 2024)
a month ago by @ijtsrd
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CLSD,
CNN,
Deep
Learning
Learning,
Machine
PCA-Driven
Supervised
Transfer
CLSD,CNN,DeepLearningLearning,MachinePCA-DrivenSupervisedTransfer
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1Harnessing AI for Global Marketing Practices An Integrated Secondary Review of Scholarly Works
P. Sarkar. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (1): 842-850 (February 2024)
7 months ago by @ijtsrd
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Artificial
Machine
Marketing,
algorithm,
customer-centric
deep
intelligence,
learning
learning,
ArtificialMachineMarketing,algorithm,customer-centricdeepintelligence,learninglearning,
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2Inductive and transductive link prediction for criminal network analysis
Z. Ahmadi, H. Nguyen, Z. Zhang, D. Bozhkov, D. Kudenko, M. Jofre, F. Calderoni, N. Cohen, and Y. Solewicz. Journal of Computational Science, (September 2023)
7 months ago by @erichoang
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#rank1
Co-offender
Crime
Deep
Inductive
Machine
Repeat
Transductive
learning
link
linkage
myown
networks
neural
offenders
prediction
#rank1Co-offenderCrimeDeepInductiveMachineRepeatTransductivelearninglinklinkagemyownnetworksneuraloffendersprediction
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2Inductive and transductive link prediction for criminal network analysis
Z. Ahmadi, H. Nguyen, Z. Zhang, D. Bozhkov, D. Kudenko, M. Jofre, F. Calderoni, N. Cohen, and Y. Solewicz. Journal of Computational Science, (September 2023)
7 months ago by @l3s
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myown
neural
from:erichoang
Transductive
learning
linkage
Deep
Repeat
link
#rank1
networks
Machine
offenders
Co-offender
Crime
Inductive
prediction
myownneuralfrom:erichoangTransductivelearninglinkageDeepRepeatlink#rank1networksMachineoffendersCo-offenderCrimeInductiveprediction
(0)
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1Neuro-symbolic approaches in artificial intelligence
P. Hitzler, A. Eberhart, M. Ebrahimi, M. Sarker, and L. Zhou. National Science Review, 9 (6): nwac035 (March 2022)
10 months ago by @jaeschke
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ai
deep
learning
machine
ml
neurosymbolic
aideeplearningmachinemlneurosymbolic
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3Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
P. Villalobos, J. Sevilla, L. Heim, T. Besiroglu, M. Hobbhahn, and A. Ho. arXiv preprint arXiv:2211.04325, (2022)
2 years ago by @becker
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themis
large
data
machine
learning
requirement
deep
models
model
dataset
datasets
set
sets
limit
themislargedatamachinelearningrequirementdeepmodelsmodeldatasetdatasetssetsetslimit
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1VGGFace Transfer Learning and Siamese Network for Face Recognition
A. Bhat. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (1): 611-616 (December 2021)
2 years ago by @ijtsrd
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16
Convolutional
Deep
Image
Machine
Network
Neural
Siamese
Transfer
VGG
classification
kaggle
learning
network
–
16ConvolutionalDeepImageMachineNetworkNeuralSiameseTransferVGGclassificationkagglelearningnetwork–
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14Distributed Representations of Sentences and Documents
Q. Le, and T. Mikolov. Proceedings of the 31st International Conference on Machine Learning, volume 32 of Proceedings of Machine Learning Research, page 1188--1196. Bejing, China, PMLR, (June 2014)
3 years ago by @jaeschke
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deep
document
embedding
learning
machine
network
neural
representation
sentence
deepdocumentembeddinglearningmachinenetworkneuralrepresentationsentence
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4You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings
D. Ruffinelli, S. Broscheit, and R. Gemulla. International Conference on Learning Representations, (2020)
3 years ago by @jaeschke
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deep
deeplearning
embedding
graph
kge
learning
machine
optimization
parameter
training
deepdeeplearningembeddinggraphkgelearningmachineoptimizationparametertraining
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2Reconstruction of offsets of an electron gun using deep learning and an optimization algorithm
D. Meier, G. Hartmann, J. Völker, J. Viefhaus, and B. Sick. Advances in Computational Methods for X-Ray Optics V, 11493, page 71 -- 77. International Society for Optics and Photonics, SPIE, (2020)
3 years ago by @aimed
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deep
electron
global
gun
itegpub
learning
machine
offsets
optimization
deepelectronglobalgunitegpublearningmachineoffsetsoptimization
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1Disease Identification and Detection in Apple Tree
R. Bargavi. International Journal of Trend in Scientific Research and Development, 5 (4): 766-770 (June 2021)
3 years ago by @ijtsrd
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Convolutional
Deep
Detection
Disease
Leaf
Learning
Machine
Network
Neural
ConvolutionalDeepDetectionDiseaseLeafLearningMachineNetworkNeural
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1Machine learning for perturbational single-cell omics
Y. Ji, M. Lotfollahi, F. Wolf, and F. Theis. Cell Systems, 12 (6): 522--537 (2021)
3 years ago by @becker
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single
cell
perturbation
survey
deep
learning
review
theis
wolf
machine
background
knowledge
integration
generative
modeling
models
model
omics
multi
multiomics
singlecellperturbationsurveydeeplearningreviewtheiswolfmachinebackgroundknowledgeintegrationgenerativemodelingmodelsmodelomicsmultimultiomics
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2Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
L. von Rueden, S. Mayer, K. Beckh, B. Georgiev, S. Giesselbach, R. Heese, B. Kirsch, J. Pfrommer, A. Pick, R. Ramamurthy and 4 other author(s). (2019)cite arxiv:1903.12394Comment: Accepted at IEEE Transactions on Knowledge and Data Engineering: https://ieeexplore.ieee.org/document/9429985.
3 years ago by @jaeschke
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ai
deep
deeplearning
knowledge
learning
machine
ml
survey
taxonomy
aideepdeeplearningknowledgelearningmachinemlsurveytaxonomy
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3PlaNet - Photo Geolocation with Convolutional Neural Networks
T. Weyand, I. Kostrikov, and J. Philbin. Computer Vision -- ECCV 2016, page 37--55. Cham, Springer International Publishing, (2016)
3 years ago by @jaeschke
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classification
cnn
deep
deeplearning
geo
geolocation
image
learning
machine
ml
network
neural
planet
classificationcnndeepdeeplearninggeogeolocationimagelearningmachinemlnetworkneuralplanet
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2Deep multimodality model for multi-task multi-view learning
L. Zheng, Y. Cheng, and J. He. Proceedings of the 2019 SIAM International Conference on Data Mining, page 10--18. SIAM, (2019)
3 years ago by @becker
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paper:milkreview:selected
multi
task
modal
multitask
multimodal
machine
learning
multiview
view
deep
neural
networks
citedby:scholar:count:6
citedby:scholar:timestamp:2021-5-29
paper:milkreview:selectedmultitaskmodalmultitaskmultimodalmachinelearningmultiviewviewdeepneuralnetworkscitedby:scholar:count:6citedby:scholar:timestamp:2021-5-29
(0)
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7An overview of multi-task learning in deep neural networks
S. Ruder. arXiv preprint arXiv:1706.05098, (2017)
3 years ago by @becker
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paper:milkreview:selected
multi
task
learning
machine
neural
networks
deep
overview
survey
citedby:scholar:count:1237
citedby:scholar:timestamp:2021-5-29
paper:milkreview:selectedmultitasklearningmachineneuralnetworksdeepoverviewsurveycitedby:scholar:count:1237citedby:scholar:timestamp:2021-5-29
(0)
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30Deep Learning
I. Goodfellow, Y. Bengio, and A. Courville. MIT Press, (2016)
3 years ago by @jaeschke
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book
deep
deeplearning
handbook
learning
machine
network
neural
bookdeepdeeplearninghandbooklearningmachinenetworkneural
(0)
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3On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
M. Mosbach, M. Andriushchenko, and D. Klakow. Proceedings of the International Conference on Learning Representations, (2021)
4 years ago by @jaeschke
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bert
deep
dnn
language
learning
machine
network
neural
nlp
tuning
bertdeepdnnlanguagelearningmachinenetworkneuralnlptuning
(0)
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3CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Z. Feng, D. Guo, D. Tang, N. Duan, X. Feng, M. Gong, L. Shou, B. Qin, T. Liu, D. Jiang and 1 other author(s). (2020)cite arxiv:2002.08155Comment: Accepted to Findings of EMNLP 2020. 12 pages.
4 years ago by @jaeschke
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bert
code
deep
dnn
github
language
learning
machine
model
natural
network
neural
nlp
nn
processing
programming
bertcodedeepdnngithublanguagelearningmachinemodelnaturalnetworkneuralnlpnnprocessingprogramming
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1Prediction of Cervical Cancer using Machine Learning and Deep Learning Algorithms
K. Kanimozhi. International Journal of Trend in Scientific Research and Development, 4 (6): 426-430 (September 2020)
4 years ago by @ijtsrd
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Cancer
Cervical
Dataset
Decision
Deep
Forest
Logistic
Machine
Neural
Random
SVM
Tree
learning
networks
regression
CancerCervicalDatasetDecisionDeepForestLogisticMachineNeuralRandomSVMTreelearningnetworksregression
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1Goal-oriented sensitivity analysis of hyperparameters in deep learning

1The Predictive Privacy Project - Rainer Mühlhoff

1Machine Learning: TensorFlow-Benchmarks auf MacBooks mit M1 Pro und M1 Max | heise online

1How to use Data Scaling Improve Deep Learning Model Stability and Performance

1KI made in Germany

publications (hide)37
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1Classification of Lumpy Skin Disease using Principal Component Analysis PCA based Supervised Machine Learning

1Harnessing AI for Global Marketing Practices An Integrated Secondary Review of Scholarly Works

2Inductive and transductive link prediction for criminal network analysis

2Inductive and transductive link prediction for criminal network analysis

1Neuro-symbolic approaches in artificial intelligence

3Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning

1VGGFace Transfer Learning and Siamese Network for Face Recognition

14Distributed Representations of Sentences and Documents

4You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings

2Reconstruction of offsets of an electron gun using deep learning and an optimization algorithm

1Disease Identification and Detection in Apple Tree

1Machine learning for perturbational single-cell omics

2Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

3PlaNet - Photo Geolocation with Convolutional Neural Networks

2Deep multimodality model for multi-task multi-view learning

7An overview of multi-task learning in deep neural networks

30Deep Learning

3On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines

3CodeBERT: A Pre-Trained Model for Programming and Natural Languages

1Prediction of Cervical Cancer using Machine Learning and Deep Learning Algorithms

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