John Scott Bridle
1989–2011
A researcher in the Science corpus: 7 papers; trusts 1 researcher and is trusted by 101 researchers here, as inferred from the citation graph.
Whom John Scott Bridle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David John Cameron MacKay
- John Skilling
- James O. Berger
- Yaser S. Abu-Mostafa
- Geoffrey E. Hinton
- Sara A. Solla
Who trusts John Scott Bridle overall
- Alex Graves
- Li Deng
- Ronan Collobert
- Yoshua Bengio
- Kyunghyun Cho
- J. Urgen Schmidhuber
- Pedro H. O. Pinheiro
- Christopher K. I. Williams
- Geoffrey E. Hinton
- Sergey Levine
Papers from John Scott Bridle's perspective
Ordered by how strongly the researchers John Scott Bridle trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning and relearning in Boltzmann machines
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Statistical Decision Theory and Bayesian Analysis, Second Edition
- Estimating the Dimension of a Model
- Sequential updating of conditional probabilities on directed graphical structures
- The Eigenvalues of Mega-dimensional Matrices
- Gradient-based learning applied to document recognition
- Learning from hints in neural networks
- Long Short-Term Memory
Their papers
- Bayesian Methods for Adaptive Models (2011) — 403 citations
- Initial evaluation of hidden dynamic models on conversational speech (1999)
- An investigation of segmental hidden dynamic models of speech coarticulation for automatic speech recognition (1998)
- Unsupervised Classifiers, Mutual Information and 'Phantom Targets' (1991)
- RecNorm: Simultaneous Normalisation and Classification Applied to Speech Recognition (1990)
- Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition (1989)
- Edinburgh Research Explorer Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE