-
7
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
J.H. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, Vol. 29 No. 5, 2001.
-
(2001)
Annals of Statistics
, vol.29
, Issue.5
-
-
Friedman, J.H.1
-
8
-
-
0034164230
-
Additive logistic regression: a statistical view of boosting
-
J.H. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. Annals of Statistics, Vol. 28 pp. 337-407, 2000.
-
(2000)
Annals of Statistics
, vol.28
, pp. 337-407
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
9
-
-
0000498409
-
Being bayesian about network structure: A bayesian approach to structure discovery in bayesian networks
-
N. Friedman and D. Koller. Being bayesian about network structure: A bayesian approach to structure discovery in bayesian networks. Machine Learning Journal, 2002.
-
(2002)
Machine Learning Journal
-
-
Friedman, N.1
Koller, D.2
-
10
-
-
0033637153
-
Genomic expression program in the response of yeast cells to environmental changes
-
A.P. Gasch, P.T. Spellman, C.M. Kao, O.Carmel-Harel, M.B. Eisen, G.Storz, D.Botstein, and P.O. Brown. Genomic expression program in the response of yeast cells to environmental changes. Mol. Bio. Cell, 11:4241-4257, 2000.
-
(2000)
Mol. Bio. Cell
, vol.11
, pp. 4241-4257
-
-
Gasch, A.P.1
Spellman, P.T.2
Kao, C.M.3
Carmel-Harel, O.4
Eisen, M.B.5
Storz, G.6
Botstein, D.7
Brown, P.O.8
-
11
-
-
0002370418
-
A tutorial on learning with Bayesian networks
-
M. I. Jordan, editor, MIT Press, Cambridge, MA
-
D. Heckerman. A tutorial on learning with Bayesian networks. In M. I. Jordan, editor, Learning in Graphical Models. MIT Press, Cambridge, MA, 1998.
-
(1998)
Learning in Graphical Models
-
-
Heckerman, D.1
-
12
-
-
0034616930
-
Functional discovery via a compendium of expression profiles
-
T. R. Hughes et al. Functional discovery via a compendium of expression profiles. Cell, 102(1):109-26, 2000.
-
(2000)
Cell
, vol.102
, Issue.1
, pp. 109-126
-
-
Hughes, T. R.1
-
13
-
-
0000034034
-
Boosting algorithms as gradient descent in function space
-
L. Mason, J. Baxter, P. Bartlett, and P. Frean. Boosting algorithms as gradient descent in function space. In Proc. NIPS, number 12, pages 512-518, 1999.
-
(1999)
Proc. NIPS
, Issue.12
, pp. 512-518
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.3
Frean, P.4
-
15
-
-
20244389637
-
Inferring subnetworks from perturbed expression profiles
-
D. Pe'er, A. Regev, G. Elidan, and N. Friedman. Inferring subnetworks from perturbed expression profiles. In ISMB'01, 2001.
-
(2001)
ISMB'01
-
-
Pe'er, D.1
Regev, A.2
Elidan, G.3
Friedman, N.4
-
18
-
-
0032280519
-
Boosting the margin: a new explanation for the effectiveness of voting methods
-
R.E. Scahpire, Y. Freund, P. Bartlett, and W.S. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. Annals of Statistics, Vol. 26 No. 5, 1998.
-
(1998)
Annals of Statistics
, vol.26
, Issue.5
-
-
Scahpire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
19
-
-
0031742022
-
Comprehensive identification of cell cycle-regulated genes of the yeast saccharomyces cerevisiae by microarray hybridization
-
P. T. Spellman et al. Comprehensive identification of cell cycle-regulated genes of the yeast saccharomyces cerevisiae by microarray hybridization. Mol. Biol. Cell, 9(12):3273-97, 1998.
-
(1998)
Mol. Biol. Cell
, vol.9
, Issue.12
, pp. 3273-3297
-
-
Spellman, P. T.1
-
21
-
-
84898985725
-
A gradient-based boosting algorithm for regression problems
-
R.S. Zemel and T. Pitassi. A gradient-based boosting algorithm for regression problems. In Proc. NIPS, 2001.
-
(2001)
Proc. NIPS
-
-
Zemel, R.S.1
Pitassi, T.2
|