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STOC '86 Proceedings of the eighteenth annual ACM symposium on Theory of computing
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Fundamentals of statistical exponential families: with applications in statistical decision theory
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A training algorithm for optimal margin classifiers
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Connectionist learning of belief networks
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Original Contribution: Stacked generalization
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An introduction to Kolmogorov complexity and its applications (2nd ed.)
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A Bayesian/Information Theoretic Model of Learning to Learn viaMultiple Task Sampling
Machine Learning - Special issue on inductive transfer
Nonlinear component analysis as a kernel eigenvalue problem
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Learning nonlinear overcomplete representations for efficient coding
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Learning continuous attractors in recurrent networks
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Learning in graphical models
Complexity lower bounds for approximation algebraic computation trees
Journal of Complexity
Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Machine Learning
Parallel Models of Associative Memory
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Global Continuation for Distance Geometry Problems
SIAM Journal on Optimization
Slow feature analysis: unsupervised learning of invariances
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Training products of experts by minimizing contrastive divergence
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Computational complexity of neural networks: a survey
Nordic Journal of Computing
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Efficient Pattern Recognition Using a New Transformation Distance
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction
ECML '97 Proceedings of the 9th European Conference on Machine Learning
Learning the Kernel Matrix with Semi-Definite Programming
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Descartes' rule of signs for radial basis function neural networks
Neural Computation
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Segmentation Using Eigenvectors: A Unifying View
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Parallel Continuation-Based Global Optimization for Molecular Conformation and Protein Folding
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Bayesian learning for neural networks
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Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A neural probabilistic language model
The Journal of Machine Learning Research
A survey of kernels for structured data
ACM SIGKDD Explorations Newsletter
Links between perceptrons, MLPs and SVMs
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Rational Kernels: Theory and Algorithms
The Journal of Machine Learning Research
Energy-based models for sparse overcomplete representations
The Journal of Machine Learning Research
The Entire Regularization Path for the Support Vector Machine
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Estimation of Non-Normalized Statistical Models by Score Matching
The Journal of Machine Learning Research
Training connectionist models for the structured language model
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Nonlinear Autoassociation Is Not Equivalent to PCA
Neural Computation
Learning Overcomplete Representations
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Principled Hybrids of Generative and Discriminative Models
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
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Nonlocal Estimation of Manifold Structure
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Some extensions of score matching
Computational Statistics & Data Analysis
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Self-taught learning: transfer learning from unlabeled data
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ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Describing Visual Scenes Using Transformed Objects and Parts
International Journal of Computer Vision
Backpropagation applied to handwritten zip code recognition
Neural Computation
Separating the polynomial-time hierarchy by oracles
SFCS '85 Proceedings of the 26th Annual Symposium on Foundations of Computer Science
A unified architecture for natural language processing: deep neural networks with multitask learning
Proceedings of the 25th international conference on Machine learning
Statistical models for partial membership
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Classification using discriminative restricted Boltzmann machines
Proceedings of the 25th international conference on Machine learning
An asymptotic analysis of generative, discriminative, and pseudolikelihood estimators
Proceedings of the 25th international conference on Machine learning
Semi-supervised learning of compact document representations with deep networks
Proceedings of the 25th international conference on Machine learning
On the quantitative analysis of deep belief networks
Proceedings of the 25th international conference on Machine learning
Training restricted Boltzmann machines using approximations to the likelihood gradient
Proceedings of the 25th international conference on Machine learning
Extracting and composing robust features with denoising autoencoders
Proceedings of the 25th international conference on Machine learning
Deep learning via semi-supervised embedding
Proceedings of the 25th international conference on Machine learning
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
International Journal of Computer Vision
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
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Deep learning from temporal coherence in video
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Factored conditional restricted Boltzmann Machines for modeling motion style
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Using fast weights to improve persistent contrastive divergence
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Exploring Strategies for Training Deep Neural Networks
The Journal of Machine Learning Research
Justifying and generalizing contrastive divergence
Neural Computation
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Introduction to Mathematical Logic
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A two-layer ICA-like model estimated by score matching
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Learning methods for generic object recognition with invariance to pose and lighting
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Decoding by linear programming
IEEE Transactions on Information Theory
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Input space versus feature space in kernel-based methods
IEEE Transactions on Neural Networks
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ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Why Does Unsupervised Pre-training Help Deep Learning?
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Neural Computation
Large-margin classification in infinite neural networks
Neural Computation
Exploring representation-learning approaches to domain adaptation
DANLP 2010 Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
Application Feedback in Guiding a Deep-Layered Perception Model
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PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Research frontier: deep machine learning--a new frontier in artificial intelligence research
IEEE Computational Intelligence Magazine
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ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Neural decoding with hierarchical generative models
Neural Computation
The Journal of Machine Learning Research
A regularized correntropy framework for robust pattern recognition
Neural Computation
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The Journal of Machine Learning Research
Technical Section: Neural network-based symbol recognition using a few labeled samples
Computers and Graphics
Machine lifelong learning: challenges and benefits for artificial general intelligence
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Restricted deep belief networks for multi-view learning
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Higher order contractive auto-encoder
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On the expressive power of deep architectures
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Kernel Analysis of Deep Networks
The Journal of Machine Learning Research
Deep learning networks for off-line handwritten signature recognition
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Dimensionality reduction by Mixed Kernel Canonical Correlation Analysis
Pattern Recognition
Random search for hyper-parameter optimization
The Journal of Machine Learning Research
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Computational Intelligence
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Neural Networks
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Neural Computation
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Proceedings of the Twelfth International Workshop on Multimedia Data Mining
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Communications of the ACM
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Deep unsupervised feature learning for natural language processing
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
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Pattern Recognition Letters
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WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Learning with infinitely many features
Machine Learning
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