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- Herbert Jaeger
- 2001

The report introduces a constructive learning algorithm for recurrent neural networks, which modifies only the weights to output units in order to achieve the learning task. key words: recurrentâ€¦ (More)

- Herbert Jaeger, H. Christian Haas
- Science
- 2004

We present a method for learning nonlinear systems, echo state networks (ESNs). ESNs employ artificial recurrent neural networks in a way that has recently been proposed independently as a learningâ€¦ (More)

- Mantas Lukosevicius, Herbert Jaeger
- Computer Science Review
- 2009

Echo State Networks and Liquid State Machines introduced a new paradigm in artificial recurrent neural network (RNN) training, where an RNN (the reservoir) is generated randomly and only a readout isâ€¦ (More)

- Herbert Jaeger
- NIPS
- 2002

Echo state networks (ESN) are a novel approach to recurrent neural network training. An ESN consists of a large, fixed, recurrent "reservoir" network, from which the desired output is obtained byâ€¦ (More)

- Herbert Jaeger, Mantas Lukosevicius, Dan Popovici, Udo Siewert
- Neural Networks
- 2007

Standard echo state networks (ESNs) are built from simple additive units with a sigmoid activation function. Here we investigate ESNs whose reservoir units are leaky integrator units. Units of thisâ€¦ (More)

- Herbert Jaeger
- Neural Computation
- 2000

A widely used class of models for stochastic systems is hidden Markov models. Systems that can be modeled by hidden Markov models are a proper subclass of linearly dependent processes, a class ofâ€¦ (More)

- Herbert Jaeger
- ArXiv
- 2014

The human brain is a dynamical system whose extremely complex sensordriven neural processes give rise to conceptual, logical cognition. Understanding the interplay between nonlinear neural dynamicsâ€¦ (More)

- Herbert Jaeger
- 1998

This tutorial gives a basic yet rigorous introduction to observable operator models (OOMs). OOMs are a recently discovered class of models of stochastic processes. They are mathematically simple inâ€¦ (More)

- Izzet B. Yildiz, Herbert Jaeger, Stefan J. Kiebel
- Neural Networks
- 2012

An echo state network (ESN) consists of a large, randomly connected neural network, the reservoir, which is driven by an input signal and projects to output units. During training, only theâ€¦ (More)

- Mantas Lukosevicius, Herbert Jaeger, Benjamin Schrauwen
- KI - KÃ¼nstliche Intelligenz
- 2012

Reservoir Computing (RC) is a paradigm of understanding and training Recurrent Neural Networks (RNNs) based on treating the recurrent part (the reservoir) differently than the readouts from it. Itâ€¦ (More)