Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex EL Bienenstock, LN Cooper, PW Munro Journal of Neuroscience 2 (1), 32-48, 1982 | 3628 | 1982 |
Image compression by back propagation: An example of extensional programming GW Cottrell, P Munro, D Zipser Models of cognition: rev. of cognitive science 1 (208), 1-4, 1989 | 446 | 1989 |
Learning internal representations from gray-scale images: An example of extensional programing GW Cottrell Ninth Annual Conference of the Cognitive Science Society, Seattle, 1987, 1987 | 317 | 1987 |
Improving committee diagnosis with resampling techniques B Parmanto, P Munro, H Doyle Advances in neural information processing systems 8, 1995 | 181 | 1995 |
Principal components analysis of images via back propagation GW Cottrell, P Munro Visual Communications and Image Processing'88: Third in a Series 1001, 1070-1077, 1988 | 157 | 1988 |
A dual back-propagation scheme for scalar reward learning P Munro Ninth Annual Conference of the Cognitive Science Society, 165-176, 1987 | 104 | 1987 |
Reducing variance of committee prediction with resampling techniques B Parmanto, PW Munro, HR Doyle Connection Science 8 (3-4), 405-426, 1996 | 97 | 1996 |
Repeat until bored: A pattern selection strategy P Munro Advances in neural information processing systems 4, 1991 | 55 | 1991 |
Competition among networks improves committee performance P Munro, B Parmanto Advances in Neural Information Processing Systems 9, 1996 | 50 | 1996 |
State-dependent factors influencing neural plasticity: A partial account of the critical period PW Munro Parallel distributed processing: Explorations in the microstructure of …, 1986 | 43 | 1986 |
A network for encoding, decoding and translating locative prepositions P Munro, C Cosic, M Tabasko Connection Science 3 (3), 225-240, 1991 | 34 | 1991 |
Nets with unreliable hidden nodes learn error-correcting codes S Judd, P Munro Advances in neural information processing systems 5, 1992 | 32 | 1992 |
Building clinical classifiers using incomplete observations–a neural network ensemble for hepatoma detection in patients with cirrhosis HR Doyle, B Parmanto, PW Munro, IR Marino, K Aldrighetti, C Doria, ... Methods of information in medicine 34 (03), 253-258, 1995 | 31 | 1995 |
Genetic search for optimal representations in neural networks PW Munro Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 1993 | 30 | 1993 |
Recurrent neural networks for predicting outcomes after liver transplantation: representing temporal sequence of clinical observations B Parmanto, HR Doyle Methods of information in medicine 40 (05), 386-391, 2001 | 27 | 2001 |
Visualizations of 2-d hidden unit space PW Munro [Proceedings 1992] IJCNN International Joint Conference on Neural Networks 3 …, 1992 | 25 | 1992 |
Learning to represent and understand locative prepositional phrases C Cosic, P Munro School of Library and Information Science, University of Pittsburgh, 1988 | 24 | 1988 |
Backpropagation P Munro Springer, 2010 | 19 | 2010 |
Emergent dynamical properties of the BCM learning rule LC Udeigwe, PW Munro, GB Ermentrout The Journal of Mathematical Neuroscience 7, 1-32, 2017 | 18 | 2017 |
Neural network classifier for hepatoma detection B Parmanto, PW Munro, HR Doyle, C Doria, L Aldrighetti, IR Marino, ... Proceedings of the World Congress on Neural Networks 1, 285-290, 1994 | 18 | 1994 |