MacKay, David J.C.

Combined from CaltechAUTHORS

• Aji, Srinivas and Jin, Hui, et el. (2001) BSC Thresholds for Code Ensembles Based on "Typical Pairs" Decoding; ISBN 978-0-387-95173-7; Codes, Systems, and Graphical Models; 195-210; 10.1007/978-1-4613-0165-3_11
• McEliece, Robert J. and MacKay, David J. C., et el. (1998) Turbo decoding as an instance of Pearl's "belief propagation" algorithm; IEEE Journal on Selected Areas in Communications; Vol. 16; No. 2; 140-152; 10.1109/49.661103
• Miller, Kenneth D. and MacKay, David J. C. (1994) The Role of Constraints in Hebbian Learning; Neural Computation; Vol. 6; No. 1; 100-126; 10.1162/neco.1994.6.1.100
• MacKay, David J. C. (1992) The evidence framework applied to classification networks; Neural Computation; Vol. 4; No. 5; 720-736; 10.1162/neco.1992.4.5.720
• MacKay, David J. C. (1992) Information-based objective functions for active data selection; Neural Computation; Vol. 4; No. 4; 590-604; 10.1162/neco.1992.4.4.590
• MacKay, David J. C. (1992) Bayesian interpolation; Neural Computation; Vol. 4; No. 3; 415-447; 10.1162/neco.1992.4.3.415
• MacKay, David J. C. (1992) A practical Bayesian framework for backpropagation networks; Neural Computation; Vol. 4; No. 3; 448-472; 10.1162/neco.1992.4.3.448
• Bridle, John S. and Heading, Anthony J. R., et el. (1992) Unsupervised Classifiers, Mutual Information and 'Phantom Targets'; ISBN 1-55860-222-4; Advances in Neural Information Processing Systems (NIPS 4); 1096-1101
• MacKay, David J. C. (1992) Bayesian Model Comparison and Backprop Nets; ISBN 1-55860-222-4; Advances in Neural Information Processing Systems 4 (NIPS 1991); 839-846
• MacKay, David J. C. and Miller, Kenneth D. (1990) Analysis of Linsker's simulations of Hebbian rules; Neural Computation; Vol. 2; No. 2; 173-187; 10.1162/neco.1990.2.2.173