-
1
-
-
84898994542
-
Regression with input-dependent noise: A Bayesian treatment
-
M. Mozer, M. Jordan & T. Petsche (Eds.), Cambridge, MA: MIT Press
-
Bishop, C., & Qazaz, C. (1997). Regression with input-dependent noise: A Bayesian treatment. In M. Mozer, M. Jordan & T. Petsche (Eds.), Advances in neural information processing systems 9 (pp. 347-353). Cambridge, MA: MIT Press.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 347-353
-
-
Bishop, C.1
Qazaz, C.2
-
2
-
-
0020192214
-
A multiplicative formula for aggregating probability assessments
-
Bordley, R. (1982). A multiplicative formula for aggregating probability assessments. Management Science, 28, 1137-1148.
-
(1982)
Management Science
, vol.28
, pp. 1137-1148
-
-
Bordley, R.1
-
4
-
-
0000406788
-
Solving multiclass learning problems via error-correcting output codes
-
Dietterich, T., & Bakiri, G. (1995). Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 2, 263-286.
-
(1995)
Journal of Artificial Intelligence Research
, vol.2
, pp. 263-286
-
-
Dietterich, T.1
Bakiri, G.2
-
5
-
-
0003483421
-
-
Stanford: Department of Statistics, Stanford University
-
Friedman, J. (1996). On bias, variance, 0/1-loss, and the curse of dimensionality (Tech. Rep.). Stanford: Department of Statistics, Stanford University. Available from: http://stat.stanford.edu/people/faculty/friedman.html.
-
(1996)
On Bias, Variance, 0/1-loss, and the Curse of Dimensionality (Tech. Rep.)
-
-
Friedman, J.1
-
6
-
-
0001942829
-
Neural networks and the bias/variance dilemma
-
Geman, S., Bienenstock, E., & Doursat, R. (1992). Neural networks and the bias/variance dilemma. Neural Computation, 4, 1-58.
-
(1992)
Neural Computation
, vol.4
, pp. 1-58
-
-
Geman, S.1
Bienenstock, E.2
Doursat, R.3
-
7
-
-
84972539429
-
Combining probability distributions: A critique and an annotated bibliography
-
Genest, C., & Zidek, J. (1986). Combining probability distributions: A critique and an annotated bibliography. Statistical Science, 1, 114-148.
-
(1986)
Statistical Science
, vol.1
, pp. 114-148
-
-
Genest, C.1
Zidek, J.2
-
8
-
-
0000418028
-
On Kullback-Leibler loss and density estimation
-
Hall, P. (1987). On Kullback-Leibler loss and density estimation. Annals of Statistics, 15, 1491-1519.
-
(1987)
Annals of Statistics
, vol.15
, pp. 1491-1519
-
-
Hall, P.1
-
9
-
-
0242480914
-
Selecting weighting factors in logarithmic opinion pools
-
M. Jordan, M. Kearns, & S. Solla (Eds.), Cambridge, MA: MIT Press
-
Heskes, T. (1998). Selecting weighting factors in logarithmic opinion pools. In M. Jordan, M. Kearns, & S. Solla (Eds.), Advances in neural information processing systems, 10. Cambridge, MA: MIT Press.
-
(1998)
Advances in Neural Information Processing Systems
, vol.10
-
-
Heskes, T.1
-
10
-
-
0029372769
-
Methods for combining experts' probability assessments
-
Jacobs, R. (1995). Methods for combining experts' probability assessments. Neural Computation, 7, 867-888.
-
(1995)
Neural Computation
, vol.7
, pp. 867-888
-
-
Jacobs, R.1
-
14
-
-
0030585112
-
Using neural networks to model conditional multivariate densities
-
Williams, P. (1996). Using neural networks to model conditional multivariate densities. Neural Computation, 8, 843-854.
-
(1996)
Neural Computation
, vol.8
, pp. 843-854
-
-
Williams, P.1
-
15
-
-
0012984013
-
On bias plus variance
-
Wolpert, D. (1997). On bias plus variance. Neural Computation, 9, 1211-1243.
-
(1997)
Neural Computation
, vol.9
, pp. 1211-1243
-
-
Wolpert, D.1
|