Equivalence between perception learning with noisy examples and learning noiseless examples in a committee machine (1995)
- Authors:
- Autor USP: ALFONSO, NESTOR FELIPE CATICHA - IF
- Unidade: IF
- Assunto: MECÂNICA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Fisica
- Publisher place: São Paulo
- Date published: 1995
- Source:
- Título: Resumos
- Conference titles: Encontro Nacional de Fisica da Materia Condensada
-
ABNT
SILVA, M C L e KINOUCHI, Osame e CATICHA ALFONSO, Nestor Felipe. Equivalence between perception learning with noisy examples and learning noiseless examples in a committee machine. 1995, Anais.. São Paulo: Sociedade Brasileira de Fisica, 1995. . Acesso em: 03 jan. 2026. -
APA
Silva, M. C. L., Kinouchi, O., & Caticha Alfonso, N. F. (1995). Equivalence between perception learning with noisy examples and learning noiseless examples in a committee machine. In Resumos. São Paulo: Sociedade Brasileira de Fisica. -
NLM
Silva MCL, Kinouchi O, Caticha Alfonso NF. Equivalence between perception learning with noisy examples and learning noiseless examples in a committee machine. Resumos. 1995 ;[citado 2026 jan. 03 ] -
Vancouver
Silva MCL, Kinouchi O, Caticha Alfonso NF. Equivalence between perception learning with noisy examples and learning noiseless examples in a committee machine. Resumos. 1995 ;[citado 2026 jan. 03 ] - On-line versus off-line learning in the linear perceptron: a comparative study
- Algorithm which gives the optimal bayesian perceptron
- On-line versus off-line learning in the linear perceptron: a comparative study
- Learning a spin glass: determining hamiltonians from metastable states
- Aprendizagem Bayesiana adaptiva
- Gradient descent learning in and out of equilibrium
- Dynamics of the evolution of learning algorithms by selection
- Lower bounds on generalization errors for drifting rules
- Resonant cavities for x-rays: dynamical diffraction of dipole ratiantion at braggsangles near pi/2
- Damaged perceptrons and the wisconsin test
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
