Tom Downs

Publication Activity (10 Years)

Years Active: 1984-2005
Publications (10 Years): 0

Publications

Andrei Hryshko, Tom Downs
A Machine Learning Approach to Intraday Trading on Foreign Exchange Markets. IDEAL (2005)
Tom Downs, Adelina Tang
Boosting the Tree Augmented Naïve Bayes Classifier. IDEAL (2004)
Andrei Hryshko, Tom Downs
System for foreign exchange trading using genetic algorithms and reinforcement learning. Int. J. Syst. Sci. 35 (13-14) (2004)
Tom Downs, Jianxiong Wang
Improving Support Vector Solutions by Selecting a Sequence of Training Subsets. IDEAL (2004)
David Rohde, Michael Drinkwater, Marcus Gallagher, Tom Downs, Marianne Doyle
Machine Learning for Matching Astronomy Catalogues. IDEAL (2004)
Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
Boosting the HONG network. Neurocomputing 51 (2003)
Marcus Gallagher, Tom Downs
Visualization of learning in multilayer perceptron networks using principal component analysis. IEEE Trans. Syst. Man Cybern. Part B 33 (1) (2003)
Andrei Hryshko, Tom Downs
An implementation of genetic algorithms as a basis for a trading system on the foreign exchange market. IEEE Congress on Evolutionary Computation (2003)
Jianxiong Wang, Tom Downs
Tuning pattern classifier parameters using a genetic algorithm with an application in mobile robotics. IEEE Congress on Evolutionary Computation (2003)
Marcus Gallagher, Tom Downs, Ian Wood
Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces. Neural Process. Lett. 16 (2) (2002)
Tom Downs, Kevin E. Gates, Annette Masters
Exact Simplification of Support Vector Solutions. J. Mach. Learn. Res. 2 (2001)
Ajantha S. Atukorale, Tom Downs, Ponnuthurai N. Suganthan
On the Performance of the HONG Network for Pattern Classification. IJCNN (2) (2000)
Hugo D. Navone, D. Cook, Tom Downs, D. Chen
Boosting Naive-Bayes classifiers to predict outcomes for hip prostheses. IJCNN (1999)
Marcus Gallagher, Marcus R. Frean, Tom Downs
Real-valued Evolutionary Optimization using a Flexible Probability Density Estimator. GECCO (1999)
Steven Young, Tom Downs
CARVE-a constructive algorithm for real-valued examples. IEEE Trans. Neural Networks 9 (6) (1998)
Steven Young, Tom Downs
Improvements and Extensions to the Constructive Algorithm CARVE. ICANN (1996)
R. J. Gaynier, Tom Downs
Sinusoidal and monotonic transfer functions: Implications for VC dimension. Neural Networks 8 (6) (1995)
V. Lakshmi Narasimhan, K. Wood, Tom Downs
A four-channel communications arbiter for multiprocessor arrays. Microprocess. Microsystems 18 (5) (1994)
Nicholas J. Redding, Adam Kowalczyk, Tom Downs
Constructive higher-order network that is polynomial time. Neural Networks 6 (7) (1993)
David R. Lovell, Ah Chung Tsoi, Tom Downs, Thomas H. Hildebrandt
Comments on 'Optimal training of thresholded linear correlation classifiers' [with reply]. IEEE Trans. Neural Networks 4 (2) (1993)
R. J. Gaynier, Tom Downs
A method of training multi-layer networks with heaviside characteristics using internal representations. ICNN (1993)
Peter L. Bartlett, Tom Downs
Using random weights to train multilayer networks of hard-limiting units. IEEE Trans. Neural Networks 3 (2) (1992)
V. Lakshmi Narasimhan, Tom Downs
Fault tolerant aspects of a dynamic dataflow architecture - PATTSY. Microprocessing and Microprogramming 32 (1-5) (1991)
Nicholas J. Redding, Tom Downs
Learning in Feedforward Networks with Nonsmooth Functions. NIPS (1991)
Robert C. Williamson, Tom Downs
Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds. Int. J. Approx. Reason. 4 (2) (1990)
D. E. Everitt, Tom Downs
Queue. Oper. Res. 32 (4) (1984)