Statistical Physics of Learning and Inference (2019)
- Authors:
- Autor USP: ALFONSO, NESTOR FELIPE CATICHA - IF
- Unidade: IF
- Assunto: MECÂNICA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Publisher: Univ. Cath. de Louvain
- Publisher place: Louvain-la-Neuve
- Date published: 2019
- ISBN: 978-2875870650
- Conference titles: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
-
ABNT
BIEHL, Michael et al. Statistical Physics of Learning and Inference. 2019, Anais.. Louvain-la-Neuve: Univ. Cath. de Louvain, 2019. Disponível em: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-2.pdf. Acesso em: 01 maio 2024. -
APA
Biehl, M., Caticha, N., Opper, M., & Villmann, T. (2019). Statistical Physics of Learning and Inference. In . Louvain-la-Neuve: Univ. Cath. de Louvain. Recuperado de https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-2.pdf -
NLM
Biehl M, Caticha N, Opper M, Villmann T. Statistical Physics of Learning and Inference [Internet]. 2019 ;[citado 2024 maio 01 ] Available from: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-2.pdf -
Vancouver
Biehl M, Caticha N, Opper M, Villmann T. Statistical Physics of Learning and Inference [Internet]. 2019 ;[citado 2024 maio 01 ] Available from: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2019-2.pdf - Dimension of computer generated sets
- Optimal generalization in perceptrons
- Aprendizagem no perceptron binario por algoritmo genetico nao local
- Propriedades de Generalização do Perceptron Reversed-Wedge
- Statistical mechanics of online learning of drifting concepts: a variational approach
- Computational capacity of an odorant discriminator: the linear separability of curves
- Relations between on-line and off-line learning in neural networks
- Superparamagnetic segmentation by excitable neural systems
- Algoritmo Bayesiano para aprendizado em cadeias de Markov com variáveis de estado escondidas
- Tópicos em mecânica estatística
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