• Corpus ID: 247998237

The Time

  title={The Time},
  author={ModelsRichard and RohwerDept and MathematicsAston and UniversityAston and TriangleBirmingham},
This review attempts to provide an insightful per- spective on the role of time within neural network models and the use of neural networks for prob- lems involving time. The most commonly used neural network models are de(cid:12)ned and explained giving mention to important technical issues but avoiding great detail. The relationship between re- current and feedforward networks is emphasised, along with the distinctions in their practical and theoretical abilities. Some practical examples are… 

Perceptual Evaluation of Physical Predictors of the Mixing Time in Binaural Room Impulse Responses

Virtual acoustic environments (VAEs) can be realized by means of dynamic binaural synthesis. Therefore, anechoic audio is convolved with interactively interchangeable binaural room impulse responses

Phonological facilitation through translation in a bilingual picture-naming task

We present a critical examination of phonological effects in a picture–word interference task. Using a methodology minimizing stimulus repetition, English/Spanish and Spanish/English bilinguals named

The Relationship between Response-Time Effort and Accuracy in PISA Science Multiple Choice Items

The study examined the relationship between examinees’ test-taking effort and their accuracy rate on items from the PISA 2015 assessment. The 10% normative threshold method was applied on Science

Histories of Knowledge in Postwar Scandinavia

Citation for published version (APA): Fritzbøger, B. (2020). “Revolt from the center”: Socio-environmental protest from idea to praxis in Denmark, 1978–1993. I J. Östling, N. Olsen, & D. Larsson

Exploration of Betrayal in Exploited Spaces: A Bakhtinian Study of The Shadow of the Crescent Moon

In post 9/11 literature, the wave of terrorism and its penetration into third world countries have been a serious concern. Since then, Pakistani literature has encapsulated the impact of war on

An Aesthetic Consciousness: An Existentialist Reading of William Faulkner’s Fiction

This thesis presents an existentialist reading of William Faulkner’s early fiction (1925-31). Moving away from a regionalist perspective the thesis argues that Faulkner’s work can be viewed as part

Psychologie Educationnelle de l'Adolescent et du Jeune Adulte

Enjeu : Les habitudes, bonnes ou mauvaises, s’acquierent souvent de facon inconsciente. Pour etre sur qu’elles soient bonnes, cela demande de l’attention de l’enseignant, par contre. Il est des

Age-Related Changes in Visual Spatial Performance

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A Practical Bayesian Framework for Backpropagation Networks

  • D. MacKay
  • Computer Science
    Neural Computation
  • 1992
A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks that automatically embodies "Occam's razor," penalizing overflexible and overcomplex models.

Practical issues in temporal difference learning

It is found that, with zero knowledge built in, the network is able to learn from scratch to play the entire game at a fairly strong intermediate level of performance, which is clearly better than conventional commercial programs, and which surpasses comparable networks trained on a massive human expert data set.

Training recurrent networks

  • M. Pedersen
  • Computer Science
    Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop
  • 1997
In particular, ill-conditioning, the need for and effect of regularization and the superiority of second-order methods for training are investigated and illustrated.

Application of neural nets to system identification and bifurcation analysis of real world experimental data

It is shown how the nets may be used to derive a map that describes the nonlinear system, and how reserving an extra input line'' of the network allows one to learn the system behavior dependent on a control variable.

Making the World Di erentiable: On Using Self-Supervised Fully Recurrent Neural Networks for Dynamic Reinforcement Learning

A general algorithm for a reinforcement learning neural network with internal and external feedback in a non-stationary reactive environment and how the algorithm can be augmented by dynamic curiosity and boredom is described.

A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

The exact form of a gradient-following learning algorithm for completely recurrent networks running in continually sampled time is derived and used as the basis for practical algorithms for temporal

The "Moving Targets" Training Algorithm

A simple method for training the dynamical behavior of a neural network using a gradient-based method and the optimization is carried out in the hidden part of state space either instead of, or in addition to weight space.

A hybrid neural network, dynamic programming word spotter

  • T. ZeppenfeldA. Waibel
  • Computer Science, Economics
    [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing
  • 1992
A novel keyword-spotting system that combines both neural network and dynamic programming techniques is presented. This system makes use of the strengths of time delay neural networks (TDNNs), which

Phoneme recognition using time-delay neural networks

The authors present a time-delay neural network (TDNN) approach to phoneme recognition which is characterized by two important properties: (1) using a three-layer arrangement of simple computing

Adjoint-Functions and Temporal Learning Algorithms in Neural Networks

A new methodology for neural learning of time-dependent nonlinear mappings that exploits the concept of adjoint operators to enable a fast global computation of the network's response to perturbations in all the systems parameters.