A connectionist approach to conceptual information retrieval
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
A Class of Inherently Fault Tolerant Distributed Programs
IEEE Transactions on Software Engineering
Programmable execution of multi-layered networks for automatic speech recognition
Communications of the ACM
Connectionist ideas and algorithms
Communications of the ACM
The Analysis of the Faulty Behavior of Synchronous Neural Networks
IEEE Transactions on Computers - Special issue on artificial neural networks
The immune system as a neural network: an alternative approach to immune cognition
ACM SIGBIO Newsletter - Special edition on biologically motivated computing
Biologically based machine learning paradigms: an introductory course
SIGCSE '92 Proceedings of the twenty-third SIGCSE technical symposium on Computer science education
Distributed asynchronous winner-take-all structures and conflict detection
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
Prediction capability of neural networks trained by Monte-Carlo paradigm
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
The basic ideas in neural networks
Communications of the ACM
Probabilistic independence networks for hidden Markov probability models
Neural Computation
The Dynamics of Nonlinear Relaxation Labeling Processes
Journal of Mathematical Imaging and Vision
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
Toward optimally distributed computation
Neural Computation
Variational learning in nonlinear Gaussian belief networks
Neural Computation
New methods for relevance feedback: improving information retrieval performance
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Recurrent sampling models for the Helmholtz machine
Neural Computation
Comparison of approximate methods for handling hyperparameters
Neural Computation
An Introduction to Variational Methods for Graphical Models
Machine Learning
Integrated Circuits of Map Chaos Generators
Analog Integrated Circuits and Signal Processing - Analog circuit techniques and related topics
Recognizing Handwritten Digits Using Hierarchical Products of Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic Neural Computation I: Computational Elements
IEEE Transactions on Computers
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
Applied Intelligence
Input Multiplexing in Artificial Neurons Employing Stochastic Arithmetic
Neural Processing Letters
Using simulated annealing to obtain optimal linear end-member mixtures of hyperspectral data
Computers & Geosciences
Learning Probabilistic RAM Nets Using VLSI Structures
IEEE Transactions on Computers
Learning Compatibility Coefficients for Relaxation Labeling Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transformation-Invariant Clustering Using the EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Expert: Intelligent Systems and Their Applications
Approximate inference in Boltzmann machines
Artificial Intelligence
Training products of experts by minimizing contrastive divergence
Neural Computation
Computational complexity of neural networks: a survey
Nordic Journal of Computing
Permitted and forbidden sets in symmetric threshold-linear networks
Neural Computation
Neural networks in civil engineering: a review
Civil and structural engineering computing: 2001
An algorithm of supervised learning for multilayer neural networks
Neural Computation
Pulse-Based Circuits and Methods for Probabilistic Neural Computation
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Neural representation of probabilistic information
Neural Computation
Bayesian computation in recurrent neural circuits
Neural Computation
Reinforcement Learning with Factored States and Actions
The Journal of Machine Learning Research
Learning physics-based motion style with nonlinear inverse optimization
ACM SIGGRAPH 2005 Papers
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks - 2005 Special issue: IJCNN 2005
Learning Overcomplete Representations
Neural Computation
How inhibitory oscillations can train neural networks and punish competitors
Neural Computation
Neural Networks - Special issue: Computational theories of the functions of the hippocampus
Multi-Task Learning for Classification with Dirichlet Process Priors
The Journal of Machine Learning Research
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
A review on evolution of production scheduling with neural networks
Computers and Industrial Engineering
A probabilistic graphical model for joint answer ranking in question answering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Is there another new factor in evolution?
Evolutionary Computation
A Neural Network for Creative Serial Order Cognitive Behavior
Minds and Machines
The evidence framework applied to classification networks
Neural Computation
The bootstrap widrow-hoff rule as a cluster-formation algorithm
Neural Computation
Neural Computation
Discriminative Learning of Max-Sum Classifiers
The Journal of Machine Learning Research
How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
A modified Hopfield neural network for perfect calculation of magnetic resonance spectroscopy
WSEAS Transactions on Information Science and Applications
A high-performance FPGA architecture for restricted boltzmann machines
Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays
Justifying and generalizing contrastive divergence
Neural Computation
Improving connectionist energy minimization
Journal of Artificial Intelligence Research
Neural computing on a one dimensional SIMD array
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Propositional non-monotonic reasoning and inconsistency in symmetric neural networks
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Cortical circuitry implementing graphical models
Neural Computation
What kind of a graphical model is the brain?
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Minimising Contrastive Divergence with Dynamic Current Mirrors
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning
The Journal of Machine Learning Research
Probabilistic models for answer-ranking in multilingual question-answering
ACM Transactions on Information Systems (TOIS)
A connectionist framework for reasoning: reasoning with examples
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Learning meta knowledge for database checking
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
An improved connectionist activation function for energy minimization
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Semi-supervised projection clustering with transferred centroid regularization
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
A modified hopfield neural network for perfect calculation of magnetic resonance spectroscopy
BEBI'08 Proceedings of the 1st WSEAS international conference on Biomedical electronics and biomedical informatics
Minimizing makespan on identical parallel machines using neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Discovering multiple constraints that are frequently approximately satisfied
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Bayesian learning of loglinear models for neural connectivity
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Modeling distributed concept representation in Hopfield neural networks
Mathematical and Computer Modelling: An International Journal
Linear semi-supervised projection clustering by transferred centroid regularization
Journal of Intelligent Information Systems
Visual object representation: Interpreting neurophysiological data within a computational framework
Journal of Cognitive Neuroscience
Training restricted Boltzmann machines: An introduction
Pattern Recognition
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