MacKay, David J.C.

Article from CaltechAUTHORS

• McEliece, Robert J. and MacKay, David J. C., el al. (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) A practical Bayesian framework for backpropagation networks; Neural Computation; Vol. 4; No. 3; 448-472; 10.1162/neco.1992.4.3.448
• 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. 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