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Browsing by Author "Adams, R.G."
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Optimising a Neural Tree Using Subtree Retraining
Pensuwon, W.; Adams, R.G.; Davey, N. (2004)Subtree retraining applied to a Stochastic Competitive Evolutionary Neural Tree model (SCENT) is introduced. This subtree retraining process is designed to improve the performance of the original model which provides a ... -
Optimising a stochastic dynamic neural tree
Pensuwon, W.; Adams, R.G.; Davey, N. (2002) -
Optimization of neuronal morphologies for pattern recognition
De Sousa, Giseli; Maex, Reinoud; Adams, R.G.; Davey, N.; Steuber, Volker (2010)Poster presented at CNS 2010 -
A Parallel Pipelined Processor with Conditional Instruction Execution
Adams, R.G.; Steven, G.B. (1991)In a recent paper by Smith, Lam and Horowitz [1] the concept of 'boosting' was introduced, where instructions from one of the possible instruction streams following a conditional branch were scheduled by the compiler for ... -
Photometric redshift estimation using Gaussian processes
Bonfield, D.; Sun, Yi; Davey, N.; Jarvis, M.J.; Abdalla, F.B.; Banerji, M.; Adams, R.G. (2010)We present a comparison between Gaussian processes (GPs) and artificial neural networks (ANNs) as methods for determining photometric redshifts for galaxies, given training-set data. In particular, we compare their degradation ... -
A potential role for the cerebellar nuclei in absence seizures
Alva, Parimala; Kroos, Lieke; Maex, Reinoud; De Zeeuw, Chris I.; Adams, R.G.; Davey, N.; Steuber, Volker; Hoebeek, Freek E. (2013)Poster presented ar CNS 2013 -
Predicting Binding Sites in the Mouse Genome
Sun, Yi.; Robinson, M.; Adams, R.G.; Davey, N.; Rust, A.G. (Institute of Electrical and Electronics Engineers (IEEE), 2007) -
Predicting drug absorption rates through human skin
Sun, Yi.; Lam, L.Y.; Moss, G.P.; Prapopoulou, M.; Adams, R.G.; Davey, N.; Gray, David; Brown, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2010)Predicting the rate at which a substance will pass through human skin and into the bloodstream is a problem of current interest. We use Gaussian Process modeling to train a set of predictors using every combination of six ... -
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
Sun, Yi.; Robinson, M.; Adams, R.G.; Rust, A.G.; Davey, N. (2008)Computational prediction of cis-regulatory binding sites is widely acknowledged as a difficult task. There are many different algorithms for searching for binding sites in current use. However, most of them produce a high ... -
Receptor response and soma leakiness in a simulated spiking neural controller for a robot
Bowes, D.; Adams, R.G.; Canamero, L.; Steuber, Volker; Davey, N. (INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus ... -
The Recognition and Analysis of Animate Objects using Neural Networks and Active Contour Models
Tabb, Ken; Davey, N.; Adams, R.G.; George, S. (2002-03) -
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot
Bowes, D.; Adams, R.G.; Cañamero, Lola; Steuber, Volker; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2009)Visual adaptation is the process that allows animals to be able to see over a wide range of light levels. This is achieved partially by lateral inhibition in the retina which compensates for low/high light levels. Neural ... -
Segmenting hand written text using supervised classification techniques
Sun, Yi.; Butler, T.; Shafarenko, A.; Loomes, M.J.; Adams, R.G.; Davey, N. (Institute of Electrical and Electronics Engineers (IEEE), 2004) -
Sign constrained high capacity associative memory models.
Davey, N.; Adams, R.G. (Springer, 2003)Biological neural networks do not allow the synapses to choose their own sign: excitatory or inhibitory. The consequences of imposing such a sign-constraint on the weights of the standard Hopfield associative memory ... -
Sparsely-connected associative memory models with displaced connectivity.
Calcraft, L.; Adams, R.G.; Davey, N. (2007)Our work is concerned with finding optimum connection strategies in high-performance associative memory models. Taking inspiration from axonal branching in biological neurons, we impose a displacement of the point of ... -
Staged training of Neocognitron by evolutionary algorithms
Pan, Z.; Sabisch, T.; Adams, R.G.; Bolouri, H. (Institute of Electrical and Electronics Engineers (IEEE), 1999)The Neocognitron, inspired by the mammalian visual system, is a complex neural network with numerous parameters and weights which should be trained in order to utilise it for pattern recognition. However, it is not easy ... -
Static instruction scheduling for the HARP multiple-instruction-issue architecture
Gray, S.M.; Adams, R.G.; Green, G.J.; Steven, G.B. (University of Hertfordshire, 1992)HARP is a new multiple-instruction-issue architecture developed at the University of Hertfordshire. This paper describes the essential features of the HARP machine model and presents two compile-time scheduling techniques, ... -
Static Instruction Scheduling for the HARP Multiple-Instruction-Issue Architecture
Gray, S.M.; Adams, R.G.; Green, G.J.; Steven, G.B. (1993)HARP is a new multiple-instruction-issue architecture developed at the University of Hertfordshire. This paper describes the essential features of the HARP machine model and presents two compile-time scheduling techniques, ... -
Stochastic dynamics and high capacity associative memories
Davey, N.; Adams, R.G. (Institute of Electrical and Electronics Engineers (IEEE), 2002) -
Stochasticity applied to a neural tree classifier
Pensuwon, W.; Adams, R.G.; Davey, N. (2000)