| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Laurens van der Maaten, Geoffrey E. Hinton |
Visualizing non-metric similarities in multiple maps.  |
Machine Learning  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton |
Conditional Restricted Boltzmann Machines for Structured Output Prediction  |
CoRR  |
2012 |
DBLP BibTeX RDF |
|
| 1 | Abdel-rahman Mohamed, George E. Dahl, Geoffrey E. Hinton |
Acoustic Modeling Using Deep Belief Networks.  |
IEEE Transactions on Audio, Speech & Language Processing  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Dong Yu, Geoffrey E. Hinton, Nelson Morgan, Jen-Tzung Chien, Shigeki Sagayama |
Introduction to the Special Section on Deep Learning for Speech and Language Processing.  |
IEEE Transactions on Audio, Speech & Language Processing  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis |
Two Distributed-State Models For Generating High-Dimensional Time Series.  |
Journal of Machine Learning Research  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey E. Hinton |
A better way to learn features: technical perspective.  |
Commun. ACM  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ruhi Sarikaya, Geoffrey E. Hinton, Bhuvana Ramabhadran |
Deep belief nets for natural language call-routing.  |
ICASSP  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Abdel-rahman Mohamed, Tara N. Sainath, George E. Dahl, Bhuvana Ramabhadran, Geoffrey E. Hinton, Michael A. Picheny |
Deep Belief Networks using discriminative features for phone recognition.  |
ICASSP  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Navdeep Jaitly, Geoffrey E. Hinton |
Learning a better representation of speech soundwaves using restricted boltzmann machines.  |
ICASSP  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Geoffrey E. Hinton, Alex Krizhevsky, Sida D. Wang |
Transforming Auto-Encoders.  |
ICANN  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Alex Krizhevsky, Geoffrey E. Hinton |
Using very deep autoencoders for content-based image retrieval.  |
ESANN  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Ilya Sutskever, James Martens, Geoffrey E. Hinton |
Generating Text with Recurrent Neural Networks.  |
ICML  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Joshua Susskind, Geoffrey E. Hinton, Roland Memisevic, Marc Pollefeys |
Modeling the joint density of two images under a variety of transformations.  |
CVPR  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Marc'Aurelio Ranzato, Joshua Susskind, Volodymyr Mnih, Geoffrey E. Hinton |
On deep generative models with applications to recognition.  |
CVPR  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Volodymyr Mnih, Hugo Larochelle, Geoffrey E. Hinton |
Conditional Restricted Boltzmann Machines for Structured Output Prediction.  |
UAI  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Marc'Aurelio Ranzato, Alex Krizhevsky, Geoffrey E. Hinton |
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images.  |
Journal of Machine Learning Research - Proceedings Track  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ilya Sutskever, Geoffrey E. Hinton |
Temporal-Kernel Recurrent Neural Networks.  |
Neural Networks  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Tanya Schmah, Grigori Yourganov, Richard S. Zemel, Geoffrey E. Hinton, Steven L. Small, Stephen C. Strother |
Comparing Classification Methods for Longitudinal fMRI Studies.  |
Neural Computation  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Roland Memisevic, Geoffrey E. Hinton |
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines.  |
Neural Computation  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Geoffrey E. Hinton |
Deep Belief Nets.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Geoffrey E. Hinton |
Boltzmann Machines.  |
Encyclopedia of Machine Learning  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Abdel-rahman Mohamed, Geoffrey E. Hinton |
Phone recognition using Restricted Boltzmann Machines.  |
ICASSP  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Volodymyr Mnih, Geoffrey E. Hinton |
Learning to Detect Roads in High-Resolution Aerial Images.  |
ECCV  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Vinod Nair, Geoffrey E. Hinton |
Rectified Linear Units Improve Restricted Boltzmann Machines.  |
ICML  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Marc'Aurelio Ranzato, Geoffrey E. Hinton |
Modeling pixel means and covariances using factorized third-order boltzmann machines.  |
CVPR  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Graham W. Taylor, Leonid Sigal, David J. Fleet, Geoffrey E. Hinton |
Dynamical binary latent variable models for 3D human pose tracking.  |
CVPR  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Li Deng, Michael L. Seltzer, Dong Yu, Alex Acero, Abdel-rahman Mohamed, Geoffrey E. Hinton |
Binary coding of speech spectrograms using a deep auto-encoder.  |
INTERSPEECH  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Marc'Aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton |
Generating more realistic images using gated MRF's.  |
NIPS  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Roland Memisevic, Christopher Zach, Geoffrey E. Hinton, Marc Pollefeys |
Gated Softmax Classification.  |
NIPS  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Hugo Larochelle, Geoffrey E. Hinton |
Learning to combine foveal glimpses with a third-order Boltzmann machine.  |
NIPS  |
2010 |
DBLP BibTeX RDF |
|
| 1 | George E. Dahl, Marc'Aurelio Ranzato, Abdel-rahman Mohamed, Geoffrey E. Hinton |
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine.  |
NIPS  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Geoffrey E. Hinton |
Deep Boltzmann Machines.  |
Journal of Machine Learning Research - Proceedings Track  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Andriy Mnih, Zhang Yuecheng, Geoffrey E. Hinton |
Improving a statistical language model through non-linear prediction.  |
Neurocomputing  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Geoffrey E. Hinton |
Semantic hashing.  |
Int. J. Approx. Reasoning  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Geoffrey E. Hinton |
Deep belief networks.  |
Scholarpedia  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Matthew D. Zeiler, Graham W. Taylor, Nikolaus F. Troje, Geoffrey E. Hinton |
Modeling pigeon behavior using a Conditional Restricted Boltzmann Machine.  |
ESANN  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Nicolas Heess, Christopher K. I. Williams, Geoffrey E. Hinton |
Learning Generative Texture Models with extended Fields-of-Experts.  |
BMVC  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Kay Yu, Ruslan Salakhutdinov, Yann LeCun, Geoffrey E. Hinton, Yoshua Bengio |
Workshop summary: Workshop on learning feature hierarchies.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Tijmen Tieleman, Geoffrey E. Hinton |
Using fast weights to improve persistent contrastive divergence.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Graham W. Taylor, Geoffrey E. Hinton |
Factored conditional restricted Boltzmann Machines for modeling motion style.  |
ICML  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Graham W. Taylor, Geoffrey E. Hinton |
Products of Hidden Markov Models: It Takes N>1 to Tango.  |
UAI  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell |
Zero-shot Learning with Semantic Output Codes.  |
NIPS  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Geoffrey E. Hinton |
Replicated Softmax: an Undirected Topic Model.  |
NIPS  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Vinod Nair, Geoffrey E. Hinton |
3D Object Recognition with Deep Belief Nets.  |
NIPS  |
2009 |
DBLP BibTeX RDF |
|
| 1 | Ilya Sutskever, Geoffrey E. Hinton |
Deep, Narrow Sigmoid Belief Networks Are Universal Approximators.  |
Neural Computation  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Vinod Nair, Joshua Susskind, Geoffrey E. Hinton |
Analysis-by-Synthesis by Learning to Invert Generative Black Boxes.  |
ICANN  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton |
Improving a statistical language model by modulating the effects of context words.  |
ESANN  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Andriy Mnih, Geoffrey E. Hinton |
A Scalable Hierarchical Distributed Language Model.  |
NIPS  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Ilya Sutskever, Geoffrey E. Hinton |
Using matrices to model symbolic relationship.  |
NIPS  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Vinod Nair, Geoffrey E. Hinton |
Implicit Mixtures of Restricted Boltzmann Machines.  |
NIPS  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Ilya Sutskever, Geoffrey E. Hinton, Graham W. Taylor |
The Recurrent Temporal Restricted Boltzmann Machine.  |
NIPS  |
2008 |
DBLP BibTeX RDF |
|
| 1 | Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel, Steven L. Small, Stephen C. Strother |
Generative versus discriminative training of RBMs for classification of fMRI images.  |
NIPS  |
2008 |
DBLP BibTeX RDF |
|
| 1 | James Cook, Ilya Sutskever, Andriy Mnih, Geoffrey E. Hinton |
Visualizing Similarity Data with a Mixture of Maps.  |
Journal of Machine Learning Research - Proceedings Track  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Geoffrey E. Hinton |
Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure.  |
Journal of Machine Learning Research - Proceedings Track  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Ilya Sutskever, Geoffrey E. Hinton |
Learning Multilevel Distributed Representations for High-Dimensional Sequences.  |
Journal of Machine Learning Research - Proceedings Track  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey E. Hinton |
Boltzmann machine.  |
Scholarpedia  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Andriy Mnih, Geoffrey E. Hinton |
Three new graphical models for statistical language modelling.  |
ICML  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton |
Restricted Boltzmann machines for collaborative filtering.  |
ICML  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Roland Memisevic, Geoffrey E. Hinton |
Unsupervised Learning of Image Transformations.  |
CVPR  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ruslan Salakhutdinov, Geoffrey E. Hinton |
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes.  |
NIPS  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Simon Osindero, Geoffrey E. Hinton |
Modeling image patches with a directed hierarchy of Markov random fields.  |
NIPS  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey E. Hinton, Simon Osindero, Max Welling, Yee Whye Teh |
Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation.  |
Cognitive Science  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Geoffrey E. Hinton, Simon Osindero, Yee Whye Teh |
A Fast Learning Algorithm for Deep Belief Nets.  |
Neural Computation  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Simon Osindero, Max Welling, Geoffrey E. Hinton |
Topographic Product Models Applied to Natural Scene Statistics.  |
Neural Computation  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Graham W. Taylor, Geoffrey E. Hinton, Sam T. Roweis |
Modeling Human Motion Using Binary Latent Variables.  |
NIPS  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Roland Memisevic, Geoffrey E. Hinton |
Improving dimensionality reduction with spectral gradient descent.  |
Neural Networks  |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Geoffrey E. Hinton |
What kind of graphical model is the brain?  |
IJCAI  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey E. Hinton, Vinod Nair |
Inferring Motor Programs from Images of Handwritten Digits.  |
NIPS ![In: Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, NIPS 2005, December 5-8, 2005, Vancouver, British Columbia, Canada], 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP BibTeX RDF |
|
| 1 | Max Welling, Richard S. Zemel, Geoffrey E. Hinton |
Probabilistic sequential independent components analysis.  |
IEEE Transactions on Neural Networks  |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Brian Sallans, Geoffrey E. Hinton |
Reinforcement Learning with Factored States and Actions.  |
Journal of Machine Learning Research  |
2004 |
DBLP BibTeX RDF |
|
| 1 | Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov |
Neighbourhood Components Analysis.  |
NIPS ![In: Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP BibTeX RDF |
|
| 1 | Roland Memisevic, Geoffrey E. Hinton |
Multiple Relational Embedding.  |
NIPS ![In: Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP BibTeX RDF |
|
| 1 | Max Welling, Michal Rosen-Zvi, Geoffrey E. Hinton |
Exponential Family Harmoniums with an Application to Information Retrieval.  |
NIPS ![In: Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP BibTeX RDF |
|
| 1 | Yee Whye Teh, Max Welling, Simon Osindero, Geoffrey E. Hinton |
Energy-Based Models for Sparse Overcomplete Representations.  |
Journal of Machine Learning Research  |
2003 |
DBLP BibTeX RDF |
|
| 1 | Max Welling, Richard S. Zemel, Geoffrey E. Hinton |
Efficient Parametric Projection Pursuit Density Estimation.  |
UAI  |
2003 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey E. Hinton, Max Welling, Andriy Mnih |
Wormholes Improve Contrastive Divergence.  |
NIPS ![In: Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada], 2003, MIT Press, 0-262-20152-6. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP BibTeX RDF |
|
| 1 | Guy Mayraz, Geoffrey E. Hinton |
Recognizing Handwritten Digits Using Hierarchical Products of Experts.  |
IEEE Trans. Pattern Anal. Mach. Intell.  |
2002 |
DBLP DOI BibTeX RDF |
products of experts, Neural networks, feature extraction, handwriting recognition, generative models, shape recognition, model-based recognition, Boltzmann machines |
| 1 | Geoffrey E. Hinton |
Training Products of Experts by Minimizing Contrastive Divergence.  |
Neural Computation  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton |
Local Physical Models for Interactive Character Animation.  |
Comput. Graph. Forum  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Fiora Pirri, Geoffrey E. Hinton, Hector J. Levesque |
In Memory of Ray Reiter (1939-2002).  |
AI Magazine  |
2002 |
DBLP BibTeX RDF |
|
| 1 | Max Welling, Geoffrey E. Hinton |
A New Learning Algorithm for Mean Field Boltzmann Machines.  |
ICANN  |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Sageev Oore, Demetri Terzopoulos, Geoffrey E. Hinton |
A Desktop Input Device and Interface for Interactive 3D Character Animation.  |
Graphics Interface  |
2002 |
DBLP BibTeX RDF |
|
| 1 | Geoffrey E. Hinton, Sam T. Roweis |
Stochastic Neighbor Embedding.  |
NIPS ![In: Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada], pp. 833-840, 2002, MIT Press, 0-262-02550-7. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP BibTeX RDF |
|
| 1 | Max Welling, Geoffrey E. Hinton, Simon Osindero |
Learning Sparse Topographic Representations with Products of Student-t Distributions.  |
NIPS ![In: Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada], pp. 1359-1366, 2002, MIT Press, 0-262-02550-7. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP BibTeX RDF |
|
| 1 | Max Welling, Richard S. Zemel, Geoffrey E. Hinton |
Self Supervised Boosting.  |
NIPS ![In: Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, NIPS 2002, December 9-14, 2002, Vancouver, British Columbia, Canada], pp. 665-672, 2002, MIT Press, 0-262-02550-7. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP BibTeX RDF |
|
| 1 | Alberto Paccanaro, Geoffrey E. Hinton |
Learning Distributed Representations of Concepts Using Linear Relational Embedding.  |
IEEE Trans. Knowl. Data Eng.  |
2001 |
DBLP DOI BibTeX RDF |
feature learning, learning structured data, generalization on relational data, Linear Relational Embedding, concept learning, Distributed representations |
| 1 | Geoffrey E. Hinton, Yee Whye Teh |
Discovering Multiple Constraints that are Frequently Approximately Satisfied.  |
UAI  |
2001 |
DBLP BibTeX RDF |
|
| 1 | Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton |
Global Coordination of Local Linear Models.  |
NIPS ![In: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], pp. 889-896, 2001, MIT Press. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP BibTeX RDF |
|
| 1 | Andrew D. Brown, Geoffrey E. Hinton |
Relative Density Nets: A New Way to Combine Backpropagation with HMM's.  |
NIPS ![In: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], pp. 1149-1156, 2001, MIT Press. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP BibTeX RDF |
|
| 1 | Alberto Paccanaro, Geoffrey E. Hinton |
Learning Hierarchical Structures with Linear Relational Embedding.  |
NIPS ![In: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], pp. 857-864, 2001, MIT Press. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP BibTeX RDF |
|
| 1 | Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton |
SMEM Algorithm for Mixture Models.  |
Neural Computation  |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Zoubin Ghahramani, Geoffrey E. Hinton |
Variational Learning for Switching State-Space Models.  |
Neural Computation  |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton |
Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates.  |
VLSI Signal Processing  |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Alberto Paccanaro, Geoffrey E. Hinton |
Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space.  |
ICML  |
2000 |
DBLP BibTeX RDF |
|
| 1 | Alberto Paccanaro, Geoffrey E. Hinton |
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions.  |
IJCNN  |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Geoffrey E. Hinton |
Modeling High-Dimensional Data by Combining Simple Experts.  |
AAAI/IAAI  |
2000 |
DBLP BibTeX RDF |
|
| 1 | Brian Sallans, Geoffrey E. Hinton |
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task.  |
NIPS  |
2000 |
DBLP BibTeX RDF |
|
| 1 | Yee Whye Teh, Geoffrey E. Hinton |
Rate-coded Restricted Boltzmann Machines for Face Recognition.  |
NIPS  |
2000 |
DBLP BibTeX RDF |
|
| 1 | Guy Mayraz, Geoffrey E. Hinton |
Recognizing Hand-written Digits Using Hierarchical Products of Experts.  |
NIPS  |
2000 |
DBLP BibTeX RDF |
|
| 1 | Brendan J. Frey, Geoffrey E. Hinton |
Variational Learning in Nonlinear Gaussian Belief Networks.  |
Neural Computation  |
1999 |
DBLP DOI BibTeX RDF |
|