AAAAAA
Results:
1-9
|
Results: 9
Authors:
Wolpert, DM
Ghahramani, Z
Flanagan, JR
Citation: Dm. Wolpert et al., Perspectives and problems in motor learning, TRENDS C SC, 5(11), 2001, pp. 487-494
Authors:
Ghahramani, Z
Citation: Z. Ghahramani, An introduction to hidden Markov models and Bayesian networks, INT J PATT, 15(1), 2001, pp. 9-42
Authors:
Ueda, N
Nakano, R
Ghahramani, Z
Hinton, GE
Citation: N. Ueda et al., Split and merge EM algorithm for improving Gaussian ixture density estimates, J VLSI S P, 26(1-2), 2000, pp. 133-140
Authors:
Ueda, N
Nakano, R
Ghahramani, Z
Hinton, GE
Citation: N. Ueda et al., SMEM algorithm for mixture models, NEURAL COMP, 12(9), 2000, pp. 2109-2128
Authors:
Ghahramani, Z
Hinton, GE
Citation: Z. Ghahramani et Ge. Hinton, Variational learning for switching state-space models, NEURAL COMP, 12(4), 2000, pp. 831-864
Authors:
Ghahramani, Z
Citation: Z. Ghahramani, Computational neuroscience - Building blocks of movement, NATURE, 407(6805), 2000, pp. 682-683
Authors:
Wolpert, DM
Ghahramani, Z
Citation: Dm. Wolpert et Z. Ghahramani, Maps, modules, and internal models in human motor control, BIOMECHANICS AND NEURAL CONTROL OF POSTURE AND MOVEMENT, 2000, pp. 317-324
Authors:
Roweis, S
Ghahramani, Z
Citation: S. Roweis et Z. Ghahramani, A unifying review of linear gaussian models, NEURAL COMP, 11(2), 1999, pp. 305-345
Authors:
Jordan, MI
Ghahramani, Z
Jaakkola, TS
Saul, LK
Citation: Mi. Jordan et al., An introduction to variational methods for graphical models, MACH LEARN, 37(2), 1999, pp. 183-233
Risultati:
1-9
|