Gradient-based learning algorithms for recurrent networks and their computational complexity

Advanced RNN Based NARMA Predictors

Journal of VLSI Signal Processing Systems

Automatic Adaptation of a Natural Language Interface to a Robotic System

IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence

Learning to Learn Using Gradient Descent

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Adaptive Bayesian Logic Programs

ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming

On-line identification and reconstruction of finite automata with generalized recurrent neural networks

Neural Networks

Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets

Neural Networks

Learning precise timing with lstm recurrent networks

The Journal of Machine Learning Research

Probabilistic logic learning

ACM SIGKDD Explorations Newsletter

Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia

Neural Computation

2005 Special Issue: Framewise phoneme classification with bidirectional LSTM and other neural network architectures

Neural Networks - 2005 Special issue: IJCNN 2005

A Signal-Flow-Graph Approach to On-line Gradient Calculation

Neural Computation

Learning to Forget: Continual Prediction with LSTM

Neural Computation

Recurrent neural network architecture with pre-synaptic inhibition for incremental learning

Neural Networks - 2006 Special issue: Neurobiology of decision making

Organization of the state space of a simple recurrent network before and after training on recursive linguistic structures

Neural Networks

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Neural Computation

Time series prediction with a weighted bidirectional multi-stream extended Kalman filter

Neurocomputing

Introduction a novel approach for power system load-frequency control

ICS'05 Proceedings of the 9th WSEAS International Conference on Systems

Learning long-term dependencies with recurrent neural networks

Neurocomputing

Task Segmentation in a Mobile Robot by mnSOM and Clustering with Spatio-temporal Contiguity

Neural Information Processing

Improving the Learning Speed in 2-Layered LSTM Network by Estimating the Configuration of Hidden Units and Optimizing Weights Initialization

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

Hybrid Evolution of Heterogeneous Neural Networks

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

Stable adaptive control with recurrent neural networks for square MIMO non-linear systems

Engineering Applications of Artificial Intelligence

An Inductive Logic Programming Approach to Statistical Relational Learning

Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning

Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes

Anticipatory Behavior in Adaptive Learning Systems

Dynamic Factor Graphs for Time Series Modeling

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

An EM Based Training Algorithm for Recurrent Neural Networks

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

A Novel Connectionist Network for Solving Long Time-Lag Prediction Tasks

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence

Modelling and predictive control of a multivariable process using recurrent neural networks

International Journal of Modelling and Simulation

Forecasting workload and airspace configuration with neural networks and tree search methods

Artificial Intelligence

Multi-dimensional recurrent neural networks

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Comparison of echo state networks with simple recurrent networks and variable-length Markov models on symbolic sequences

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Can't get you out of my head: a connectionist model of cyclic rehearsal

ZiF'06 Proceedings of the Embodied communication in humans and machines, 2nd ZiF research group international conference on Modeling communication with robots and virtual humans

SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients

IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering

Clifford support vector machines for classification, regression, and recurrence

IEEE Transactions on Neural Networks

An unsupervised learning based LSTM model: a new architecture

AMERICAN-MATH'11/CEA'11 Proceedings of the 2011 American conference on applied mathematics and the 5th WSEAS international conference on Computer engineering and applications

Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario

ACM Transactions on Speech and Language Processing (TSLP)

Fast color-based object recognition independent of position and orientation

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I

A scheduling method of data transmission in the internet communication by recurrent neural network

KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III

An efficient hybrid approach for online recognition of handwritten symbols

MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence

Recurrent networks for structured data - A unifying approach and its properties

Cognitive Systems Research

Learning in fully recurrent neural networks by approaching tangent planes to constraint surfaces

Neural Networks

Adaptive learning of linguistic hierarchy in a multiple timescale recurrent neural network

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I

Heavy-tailed mixture GARCH volatility modeling and Value-at-Risk estimation

Expert Systems with Applications: An International Journal

An agent-based model of stereotype communication

PRIMA'11 Proceedings of the 14th international conference on Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing

Evaluating performance of long short-term memory recurrent neural networks on intrusion detection data

Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference

Time-dependent series variance learning with recurrent mixture density networks

Neurocomputing

A biological gradient descent for prediction through a combination of stdp and homeostatic plasticity

Neural Computation