A Class of Inherently Fault Tolerant Distributed Programs
IEEE Transactions on Software Engineering
The object-oriented paradigm and neurocomputing
ANNA '91 Proceedings of the conference on Analysis of neural network applications
The basic ideas in neural networks
Communications of the ACM
Knowledge acquisition and representation techniques in scholarly communication
ACM SIGDOC Asterisk Journal of Computer Documentation
Knowledge acquisition and representation techniques in scholarly communication
SIGDOC '95 Proceedings of the 13th annual international conference on Systems documentation: emerging from chaos: solutions for the growing complexity of our jobs
A learning theorem for networks at detailed stochastic equilibrium
Neural Computation
Recognizing Handwritten Digits Using Hierarchical Products of Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
Applied Intelligence
Using simulated annealing to obtain optimal linear end-member mixtures of hyperspectral data
Computers & Geosciences
Neural, Parallel & Scientific Computations
Training products of experts by minimizing contrastive divergence
Neural Computation
A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Review of "Optimality theory" by René Kager. Cambridge University Press 1999.
Computational Linguistics
Reinforcement Learning with Factored States and Actions
The Journal of Machine Learning Research
Topographic Product Models Applied to Natural Scene Statistics
Neural Computation
A principle for learning egocentric-allocentric transformation
Neural Computation
Sequence manipulation using parallel mapping networks
Neural Computation
Classification using discriminative restricted Boltzmann machines
Proceedings of the 25th international conference on Machine learning
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Exploring Music Video Editing Rules with Dual-Wing Harmonium Model
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Mining Association Patterns between Music and Video Clips in Professional MTV
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
A high-performance FPGA architecture for restricted boltzmann machines
Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
A Discriminative Approach to Topic-Based Citation Recommendation
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Factored conditional restricted Boltzmann Machines for modeling motion style
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Social influence analysis in large-scale networks
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Application of artificial intelligence techniques to economic planning
TELE-INFO'09 Proceedings of the 8th Wseas international conference on Telecommunications and informatics
A new dual wing harmonium model for document retrieval
Pattern Recognition
Justifying and generalizing contrastive divergence
Neural Computation
Multi-conditional learning: generative/discriminative training for clustering and classification
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Improving connectionist energy minimization
Journal of Artificial Intelligence Research
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining
Expert Systems with Applications: An International Journal
Adaptive stochastic classifier for noisy pH-ISFET measurements
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Approaches to the active conceptual modelling of learning
Active conceptual modeling of learning
Deep belief networks are compact universal approximators
Neural Computation
An improved connectionist activation function for energy minimization
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Deep bottleneck classifiers in supervised dimension reduction
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Neural decoding with hierarchical generative models
Neural Computation
The Journal of Machine Learning Research
Exploiting local structure in Boltzmann machines
Neurocomputing
Discriminative deep belief networks for visual data classification
Pattern Recognition
Domain adaptation by constraining inter-domain variability of latent feature representation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Two Distributed-State Models For Generating High-Dimensional Time Series
The Journal of Machine Learning Research
Improved learning of Gaussian-Bernoulli restricted Boltzmann machines
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
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
On the expressive power of deep architectures
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Bilinear deep learning for image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Discovering multiple constraints that are frequently approximately satisfied
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
In All Likelihood, Deep Belief Is Not Enough
The Journal of Machine Learning Research
Detection of mine-like objects using restricted boltzmann machines
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
CSLP'04 Proceedings of the First international conference on Constraint Solving and Language Processing
Attentiveness detection using continuous restricted boltzmann machine in e-learning environment
ICHL'09 Proceedings of the Second international conference on Hybrid Learning and Education
Block-based Deep Belief Networks for face recognition
International Journal of Biometrics
Age differences in exploratory learning from a health information website
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A neural-symbolic cognitive agent for online learning and reasoning
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Fast linear system solution by neural networks
Operations Research Letters
Semiconducting bilinear deep learning for incomplete image recognition
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
An efficient learning procedure for deep boltzmann machines
Neural Computation
Learning where to attend with deep architectures for image tracking
Neural Computation
Learning a generative model of images by factoring appearance and shape
Neural Computation
Bounding the bias of contrastive divergence learning
Neural Computation
GPU-accelerated restricted boltzmann machine for collaborative filtering
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Tikhonov-Type regularization for restricted boltzmann machines
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Self-Avoiding Random Dynamics on Integer Complex Systems
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special Issue on Monte Carlo Methods in Statistics
Forecasting large scale conditional volatility and covariance using neural network on GPU
The Journal of Supercomputing
Enhanced gradient for training restricted boltzmann machines
Neural Computation
Can't see the forest for the trees?: a citation recommendation system
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Latent feature learning in social media network
Proceedings of the 21st ACM international conference on Multimedia
Location-aware music recommendation using auto-tagging and hybrid matching
Proceedings of the 7th ACM conference on Recommender systems
Training restricted Boltzmann machines: An introduction
Pattern Recognition
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