Miroslaw Pawlak On the asymptotic properties of smoothed estimators of the classification error rate. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 1988, v:21, n:5, pp:515-524 [Journal]
Wlodzimierz Greblicki, Miroslaw Pawlak Necessary and sufficient conditions for Bayes risk consistency of a recursive kernel classification rule. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 1987, v:33, n:3, pp:408-0 [Journal]
Adam Krzyzak, Miroslaw Pawlak Distribution-free consistency of a nonparametric kernel regression estimate and classification. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 1984, v:30, n:1, pp:78-81 [Journal]
Adam Krzyzak, Miroslaw Pawlak Almost everywhere convergence of a recursive regression function estimate and classification. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 1984, v:30, n:1, pp:91-0 [Journal]
Gábor Lugosi, Miroslaw Pawlak On the posterior-probability estimate of the error rate of nonparametric classification rules. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 1994, v:40, n:2, pp:475-481 [Journal]
Miroslaw Pawlak On nonparametric estimation of a functional of a probability density. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 1986, v:32, n:1, pp:79-84 [Journal]
Miroslaw Pawlak On the reconstruction aspects of moment descriptors. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 1992, v:38, n:6, pp:1698-1708 [Journal]
Miroslaw Pawlak Kernel classification rules from missing data. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Information Theory, 1993, v:39, n:3, pp:979-988 [Journal]