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Results: 1-7 |
Results: 7
WHAT SIZE TEST SET GIVES GOOD ERROR RATE ESTIMATES
Authors: GUYON I MAKHOUL J SCHWARTZ R VAPNIK V
Citation: I. Guyon et al., WHAT SIZE TEST SET GIVES GOOD ERROR RATE ESTIMATES, IEEE transactions on pattern analysis and machine intelligence, 20(1), 1998, pp. 52-64
COMPARING SUPPORT VECTOR MACHINES WITH GAUSSIAN KERNELS TO RADIAL BASIS FUNCTION CLASSIFIERS
Authors: SCHOLKOPF B SUNG KK BURGES CJC GIROSI F NIYOGI P POGGIO T VAPNIK V
Citation: B. Scholkopf et al., COMPARING SUPPORT VECTOR MACHINES WITH GAUSSIAN KERNELS TO RADIAL BASIS FUNCTION CLASSIFIERS, IEEE transactions on signal processing, 45(11), 1997, pp. 2758-2765
SUPPORT-VECTOR NETWORKS
Authors: CORTES C VAPNIK V
Citation: C. Cortes et V. Vapnik, SUPPORT-VECTOR NETWORKS, Machine learning, 20(3), 1995, pp. 273-297
BOOSTING AND OTHER ENSEMBLE METHODS
Authors: DRUCKER H CORTES C JACKEL LD LECUN Y VAPNIK V
Citation: H. Drucker et al., BOOSTING AND OTHER ENSEMBLE METHODS, Neural computation, 6(6), 1994, pp. 1289-1301
MEASURING THE VC-DIMENSION OF A LEARNING-MACHINE
Authors: VAPNIK V LEVIN E LECUN Y
Citation: V. Vapnik et al., MEASURING THE VC-DIMENSION OF A LEARNING-MACHINE, Neural computation, 6(5), 1994, pp. 851-876
LOCAL ALGORITHMS FOR PATTERN-RECOGNITION AND DEPENDENCIES ESTIMATION
Authors: VAPNIK V BOTTOU L
Citation: V. Vapnik et L. Bottou, LOCAL ALGORITHMS FOR PATTERN-RECOGNITION AND DEPENDENCIES ESTIMATION, Neural computation, 5(6), 1993, pp. 893-909
3 FUNDAMENTAL-CONCEPTS OF THE CAPACITY OF LEARNING MACHINES
Authors: VAPNIK V
Citation: V. Vapnik, 3 FUNDAMENTAL-CONCEPTS OF THE CAPACITY OF LEARNING MACHINES, Physica. A, 200(1-4), 1993, pp. 538-544
Risultati: 1-7 |