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Learning Global Pairwise Interactions with Bayesian Neural Networks

Referentgranskad
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DOI
10.3233/FAIA200205
Cui, Tianyu; Marttinen, Pekka; Kaski, Samuel
Frontiers in Artificial Intelligence and Applications2020Publicationer information ikon

Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search

Referentgranskad
DOI
10.1016/j.image.2017.06.008
Xia, Zhaoqiang; Feng, Xiaoyi; Lin, Jie; Hadid, Abdenour
Signal processing: image communication2017Publicationer information ikon

Fixing targets and evaluating design alternatives by pairwise comparisons, The COMPARE method

Referentgranskad
Yannou, Bernard; Coatanéa, Eric
Journal of Network and Computer Applications2009Publicationer information ikon

Learning with multiple pairwise kernels for drug bioactivity prediction

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DOI
10.1093/bioinformatics/bty277
Cichonska, Anna; Pahikkala, Tapio; Szedmak, Sandor; Julkunen, Heli; Airola, Antti; Heinonen, Markus;...
Bioinformatics2018Publicationer information ikon

Predict Pairwise Trust based on Machine Learning in Online Social Networks A Survey

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DOI
10.1109/ACCESS.2018.2869699
Liu, Shushu; Zhang, Lifang; Yan, Zheng
IEEE Access2018Publicationer information ikon

Studying a set of properties of inconsistency indices for pairwise comparisons

Referentgranskad
DOI
10.1007/s10479-016-2166-8
Brunelli, Matteo
Annals of Operations Research2017Publicationer information ikon

On the conjoint estimation of inconsistency and intransitivity of pairwise comparisons

Referentgranskad
DOI
10.1016/j.orl.2016.07.017
Brunelli, Matteo
Operations Research Letters2016Publicationer information ikon

High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study

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DOI
10.1016/j.csda.2019.06.012
Pensar, Johan; Xu, Yingying; Puranen, Santeri; Pesonen, Maiju; Kabashima, Yoshiyuki; Corander, Jukka
Computational statistics and data analysis2020Publicationer information ikon

Generalized vec trick for fast learning of pairwise kernel models

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DOI
10.1007/s10994-021-06127-y
Viljanen Markus, Airola Antti, Pahikkala Tapio
Machine Learning2022Publicationer information ikon

Testing the Efficiency of Pairwise Comparison Methods in Discrete Multiple Criteria Problems

Lahdelma, Risto; Salminen, P.; Kuula, Markku
-2000

Learning Global Pairwise Interactions with Bayesian Neural Networks

Referentgranskad
Öppen tillgång
DOI
10.3233/FAIA200205
2020

Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search

Referentgranskad
DOI
10.1016/j.image.2017.06.008
2017

Fixing targets and evaluating design alternatives by pairwise comparisons, The COMPARE method

Referentgranskad
2009

Learning with multiple pairwise kernels for drug bioactivity prediction

Referentgranskad
Öppen tillgång
DOI
10.1093/bioinformatics/bty277
2018

Predict Pairwise Trust based on Machine Learning in Online Social Networks A Survey

Referentgranskad
Öppen tillgång
DOI
10.1109/ACCESS.2018.2869699
2018

Studying a set of properties of inconsistency indices for pairwise comparisons

Referentgranskad
DOI
10.1007/s10479-016-2166-8
2017

On the conjoint estimation of inconsistency and intransitivity of pairwise comparisons

Referentgranskad
DOI
10.1016/j.orl.2016.07.017
2016

High-dimensional structure learning of binary pairwise Markov networks: A comparative numerical study

Referentgranskad
Öppen tillgång
DOI
10.1016/j.csda.2019.06.012
2020

Generalized vec trick for fast learning of pairwise kernel models

Referentgranskad
Öppen tillgång
DOI
10.1007/s10994-021-06127-y
2022

Testing the Efficiency of Pairwise Comparison Methods in Discrete Multiple Criteria Problems

2000