למידה מונחית (Hebrew Wikipedia)

Analysis of information sources in references of the Wikipedia article "למידה מונחית" in Hebrew language version.

refsWebsite

Global rank Hebrew rank

5springer.com

274^th place

120^th place

1huji.ac.il

3,903^rd place

84^th place

1nips.cc

low place

1google.co.il

2,636^th place

27^th place

1arxiv.org

69^th place

238^th place

1no-free-lunch.org

low place

1tau.ac.il

4,464^th place

79^th place

1usc.edu

1,077^th place

660^th place

1sciencedirect.com

149^th place

87^th place

1jair.org

low place

1ieee.org

652^nd place

820^th place

1acm.org

1,185^th place

636^th place

1datanami.com

low place

1explorium.ai

low place

1storage.googleapis.com

5,609^th place

1,639^th place

acm.org

dl.acm.org

Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan, Dropout: a simple way to prevent neural networks from overfitting, 2014

arxiv.org

Kwetishe Joro Danjuma, Performance Evaluation of Machine Learning Algorithms in Post-operative Life Expectancy in the Lung Cancer Patients

datanami.com

Alex Woodie, Three Ways Biased Data Can Ruin Your ML Models, ‏18 ביולי 2018

explorium.ai

Data Bias and What it Means for Your Machine Learning Models, ‏14 באפריל 2020

google.co.il

books.google.co.il

Vladimir Vapnik, The Nature of Statistical Learning Theory

huji.ac.il

cs.huji.ac.il

Shai Shalev-Shwartz, Shai Ben-David, Understanding Machine Learning: From Theory to Algorithms, 2014

ieee.org

ieeexplore.ieee.org

M.R. Smith, T. Martinez, Improving classification accuracy by identifying and removing instances that should be misclassified, 2011

jair.org

C. E. Brodley, M. A. Friedl, Identifying Mislabeled Training Data, Journal of Artificial Intelligence Research, 1999

nips.cc

papers.nips.cc

Goodfellow, Ian; Pouget-Abadie, Jean; Mirza, Mehdi; Xu, Bing; Warde-Farley, David; Ozair, Sherjil; Courville, Aaron; Bengio, Yoshua, Generative Adversarial Nets, 2014

no-free-lunch.org

משפט "אין ארוחות חינם"

sciencedirect.com

S.Velliangiri, S.Alagumuthukrishnan, S IwinThankumar joseph, A Review of Dimensionality Reduction Techniques for Efficient Computation

springer.com

link.springer.com

Bin LiuGeoffrey I. Webb, Generative and Discriminative Learning, Encyclopedia of Machine Learning, 2011
Haiying Wang, Huiru Zheng, Model Validation, Machine Learning, 2013
Pádraig CunninghamMatthieu CordSarah Jane Delany, Supervised Learning, Machine Learning Techniques for Multimedia, 2008
Jan LarsenClaus SvarerLars Nonboe AndersenLars Kai Hansen, Adaptive Regularization in Neural NetworkModeling, Neural Networks: Tricks of the Trade, 2012
Mohamed Farouk Abdel Hady, Friedhelm Schwenker, Semi-supervised Learning, Handbook on Neural Information Processing, 2013

storage.googleapis.com

D. Sculley, Large Scale Learning to Rank

tau.ac.il

delta-apache-vm.cs.tau.ac.il

S. German, E. Bienenstock and R. Doursat, Neural networks and the bias/variance dilemma, 1992

usc.edu

faculty.marshall.usc.edu

G. James, Variance and bias for general loss functions, 2003