E-LIB Suche - Ergebnisse für: Catalina, Alejandro

1

Hidden impacts of conservation management on fertility of t..:

Digby, Andrew ; Eason, Daryl ; Catalina, Alejandro...
PeerJ. 11 (2023) - p. e14675 , 2023

Link: https://doi.org/10.7717/..

2

Flexible Kernel Selection in Multitask Support Vector Regre..:

, In: 2019 International Joint Conference on Neural Networks (IJCNN),

Ruiz, Carlos ; Alaiz, Carlos M. ; Catalina, Alejandro. - p. 1-8 , 2019

Link: https://doi.org/10.1109/..

3

Machine Learning Nowcasting of PV Energy Using Satellite Da..:

Catalina, Alejandro ; Torres-Barrán, Alberto ; Alaíz, Carlos M..
Neural Processing Letters. 52 (2019) 1 - p. 97-115 , 2019

Link: https://doi.org/10.1007/..

4

Gaussian Process Kernels for Support Vector Regression in W..:

, In: Intelligent Data Engineering and Automated Learning – IDEAL 2018; Lecture Notes in Computer Science,

de la Pompa, Víctor ; Catalina, Alejandro ; Dorronsoro, José R. - p. 147-154 , 2018

Link: https://doi.org/10.1007/..

5

Fused Lasso Dimensionality Reduction of Highly Correlated N..:

, In: Data Analytics for Renewable Energy Integration. Technologies, Systems and Society; Lecture Notes in Computer Science,

Catalina, Alejandro ; Alaíz, Carlos M. ; Dorronsoro, José R. - p. 13-26 , 2018

Link: https://doi.org/10.1007/..

6

Data Analytics for Renewable Energy Integration. Technologi..

6th ECML PKDD Workshop, DARE 2018, Dublin, Ireland, Septemb... Lecture Notes in Artificial Intelligence ; 11325;SpringerLink, Bücher

Aung, Zeyar ; Catalina Feliú, Alejandro ; Madnick, Stuart. , 2018

Link: https://doi.org/10.1007/..

7

Hidden impacts of conservation management on fertility of t..:

Digby, Andrew ; Eason, Daryl ; Catalina, Alejandro...
PEERJ. , 2023

Link: https://aaltodoc.aalto.f..

8

Projection Predictive Inference for Generalized Linear and ..:

Catalina, Alejandro ; Burkner, Paul ; Vehtari, Aki
International Conference on Artificial Intelligence and Statistics. , 2022

Link: https://aaltodoc.aalto.f..

9

Latent space projection predictive inference:

Catalina, Alejandro ; Bürkner, Paul ; Vehtari, Aki
http://arxiv.org/abs/2109.04702. , 2021

Link: http://arxiv.org/abs/210..

10

Challenges and Opportunities in High-dimensional Variationa..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Welandawe, Manushi...
https://orbit.dtu.dk/en/publications/46b0b204-ea3d-4dfb-ab1f-476d2cd503ec. , 2021

Link: https://orbit.dtu.dk/en/..

11

Challenges and Opportunities in High-dimensional Variationa..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Welandawe, Manushi...
http://arxiv.org/abs/2103.01085. , 2021

Link: http://arxiv.org/abs/210..

12

Projection Predictive Inference for Generalized Linear and ..:

Catalina, Alejandro ; Bürkner, Paul-Christian ; Vehtari, Aki
http://arxiv.org/abs/2010.06994. , 2020

Link: http://arxiv.org/abs/201..

13

Robust, Accurate Stochastic Optimization for Variational In..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Andersen, Michael Riis...
Dhaka , A K , Catalina , A , Andersen , M R , Magnusson , M , Huggins , J H & Vehtari , A 2020 , Robust, Accurate Stochastic Optimization for Variational Inference . in Proceedings of 34 th Conference on Neural Information Processing Systems . pp. 10961-10973 , 34 th Conference on Neural Information Processing Systems , 06/12/2020 .. , 2020

Link: https://orbit.dtu.dk/en/..

14

Group Heterogeneity Assessment for Multilevel Models:

Paananen, Topi ; Catalina, Alejandro ; Bürkner, Paul-Christian.
http://arxiv.org/abs/2005.02773. , 2020

Link: http://arxiv.org/abs/200..

15

Robust, Accurate Stochastic Optimization for Variational In..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Andersen, Michael Riis...
http://arxiv.org/abs/2009.00666. , 2020

Link: http://arxiv.org/abs/200..