-
2
-
-
18744410770
-
Understanding the Yarowsky algorithm
-
Abney, S. (2004). Understanding the Yarowsky algorithm. Comput. Linguist. 30 365-395.
-
(2004)
Comput. Linguist.
, vol.30
, pp. 365-395
-
-
Abney, S.1
-
5
-
-
0035478854
-
Random forests
-
Breiman, L. (2001). Random forests. Machine Learning 45 5-32.
-
(2001)
Machine Learning
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
6
-
-
0003802343
-
-
Wadsworth Advanced Book and Software, Belmont, CA
-
Breiman, L., Friedman, J., Olshen, R. and Stone, C. (1984). Classification and Regression Trees. Wadsworth Advanced Book and Software, Belmont, CA.
-
(1984)
Classification and Regression Trees.
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
7
-
-
0000014224
-
Linear smoothers and additive models
-
Buja, A., Hastie, T. and Tibshirani, R. (1989). Linear smoothers and additive models. Ann. Statist. 17 543-555.
-
(1989)
Ann. Statist.
, vol.17
, pp. 543-555
-
-
Buja, A.1
Hastie, T.2
Tibshirani, R.3
-
8
-
-
33749252873
-
-
MIT Press, Cambridge, MA. Available at
-
Chapelle, O., Schölkopf, B. and Zien, A., eds. (2006). Semi-Supervised Learning. MIT Press, Cambridge, MA. Available at http://www.kyb.tuebingen.mpg.de/ssl-book/.
-
(2006)
Semi-Supervised Learning.
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
9
-
-
41549144249
-
Optimization techniques for semi-supervised support vector machines
-
Chapelle, O., Sindhwani, V. and Keerthi, S. (2008). Optimization techniques for semi-supervised support vector machines. J. Machine Learning Research 9 203-233.
-
(2008)
J. Machine Learning Research
, vol.9
, pp. 203-233
-
-
Chapelle, O.1
Sindhwani, V.2
Keerthi, S.3
-
10
-
-
84973587732
-
A coefficient of agreement for nominal data
-
Cohen, J. (1960). A coefficient of agreement for nominal data. Education and Psychological Measurement 20 37-46.
-
(1960)
Education and Psychological Measurement
, vol.20
, pp. 37-46
-
-
Cohen, J.1
-
11
-
-
53549121719
-
An iterative algorithm for extending learners to a semi-supervised setting
-
Culp, M. and Michailidis, G. (2008a). An iterative algorithm for extending learners to a semi-supervised setting. J. Comput. Graph. Statist. 17 1-27.
-
(2008)
J. Comput. Graph. Statist.
, vol.17
, pp. 1-27
-
-
Culp, M.1
Michailidis, G.2
-
13
-
-
33749854572
-
High-throughput screening: Update on practices and success
-
Fox, S., Farr-Jones, S., Sopchak, L., Boggs, A., Wang, H., Khoury, R. and Biros, M. (1959). High-throughput screening: Update on practices and success.J. Biomolecular Screening 11 864-869.
-
(1959)
J. Biomolecular Screening
, vol.11
, pp. 864-869
-
-
Fox, S.1
Farr-Jones, S.2
Sopchak, L.3
Boggs, A.4
Wang, H.5
Khoury, R.6
Biros, M.7
-
14
-
-
0002432565
-
Multivariate adaptive regression splines (with discussion and a rejoinder by the author)
-
Friedman, J. (1991). Multivariate adaptive regression splines (with discussion and a rejoinder by the author). Ann. Statist. 19 1-141.
-
(1991)
Ann. Statist.
, vol.19
, pp. 1-141
-
-
Friedman, J.1
-
15
-
-
0003424777
-
-
Benjamin/Cummings, Merlo Park, CA
-
Gould, R. (1998). Graph Theory. Benjamin/Cummings, Merlo Park, CA.
-
(1998)
Graph Theory.
-
-
Gould, R.1
-
18
-
-
0029279020
-
Rational drug design: A multidiciplinary approach
-
Hunter, W. (1995). Rational drug design: A multidiciplinary approach. Molecular Medical Today 1 31-34.
-
(1995)
Molecular Medical Today
, vol.1
, pp. 31-34
-
-
Hunter, W.1
-
20
-
-
34547696887
-
On the effectiveness of the Laplacian normalization for graph semi-supervised learning
-
electronic
-
Johnson, R. and Zhang, T. (2007). On the effectiveness of the Laplacian normalization for graph semi-supervised learning. J. Mach. Learn. Res. 81489-1517 (electronic).
-
(2007)
J. Mach. Learn. Res.
, vol.8
, pp. 1489-1517
-
-
Johnson, R.1
Zhang, T.2
-
21
-
-
84950272002
-
A generalization of Brouwer's fixed point theorem
-
Kakutani, S. (1941). A generalization of Brouwer's fixed point theorem. Duke Math. J. 8 457-459.
-
(1941)
Duke Math. J.
, vol.8
, pp. 457-459
-
-
Kakutani, S.1
-
22
-
-
84865377683
-
Physicoshemical high throughput screening: Parallel artificial membrane permeation assay in the description of passive absorption process
-
Kansy, M., Senner, F. and Gubemator, K. (2001). Physicoshemical high throughput screening: Parallel artificial membrane permeation assay in the description of passive absorption process. J. Medicinal Chemistry 44923-930.
-
(2001)
J. Medicinal Chemistry
, vol.44
, pp. 923-930
-
-
Kansy, M.1
Senner, F.2
Gubemator, K.3
-
23
-
-
84898988691
-
On semi-supervised classification
-
Krishnapuram, B., Williams, D., Xue, Y., Hartemink, A., Carin, L. and Figueiredo, M. (2005). On semi-supervised classification. In Advances in NIPS 721-728.
-
(2005)
Advances in NIPS
, pp. 721-728
-
-
Krishnapuram, B.1
Williams, D.2
Xue, Y.3
Hartemink, A.4
Carin, L.5
Figueiredo, M.6
-
24
-
-
85161990843
-
Statistical analysis of semi-supervised regression
-
Lafferty, J. and Wasserman, L. (2007). Statistical analysis of semi-supervised regression. In Advances in NIPS 801-808.
-
(2007)
Advances in NIPS
, pp. 801-808
-
-
Lafferty, J.1
Wasserman, L.2
-
26
-
-
0002403935
-
Block relaxation algorithms in statistics
-
In, (H. H. Bock, W. Lenski and M. M. Richter, eds.). Springer, Berlin
-
De Leeuw, J. (1994). Block relaxation algorithms in statistics. In Information Systems and Data Analysis (H. H. Bock, W. Lenski and M. M. Richter, eds.) 308-325. Springer, Berlin.
-
(1994)
Information Systems and Data Analysis
, pp. 308-325
-
-
de Leeuw, J.1
-
28
-
-
0000806922
-
Automating the construction of internet portals with machine learning
-
McCallum, A., Nigam, K., Rennie, J. and Seymore, K. (2000). Automating the construction of internet portals with machine learning. Information Retrieval J. 3 127-163.
-
(2000)
Information Retrieval J.
, vol.3
, pp. 127-163
-
-
McCallum, A.1
Nigam, K.2
Rennie, J.3
Seymore, K.4
-
29
-
-
33846829987
-
The pls package: Principal component and partial least squares regression in R
-
Mevik, B. and Wehrens, R. (2007). The pls package: Principal component and partial least squares regression in R. J. Statist. Software 18 1-24.
-
(2007)
J. Statist. Software
, vol.18
, pp. 1-24
-
-
Mevik, B.1
Wehrens, R.2
-
30
-
-
29144442904
-
Whole-proteome prediction of protein function via graph-theoretic analysis of interaction map
-
Nabieva, E., Jim, K., Agarwal, A., Chazelle, B. and Singh, M. (2005). Whole-proteome prediction of protein function via graph-theoretic analysis of interaction map. Bioinformatics 21 302-310.
-
(2005)
Bioinformatics
, vol.21
, pp. 302-310
-
-
Nabieva, E.1
Jim, K.2
Agarwal, A.3
Chazelle, B.4
Singh, M.5
-
34
-
-
19544389868
-
Protein network inference from multiple genomic data: A supervised approach
-
Yamanishi, Y., Vert, J. and Kanehisa, M. (2004). Protein network inference from multiple genomic data: A supervised approach. Bioinformatics 20 363-370.
-
(2004)
Bioinformatics
, vol.20
, pp. 363-370
-
-
Yamanishi, Y.1
Vert, J.2
Kanehisa, M.3
-
35
-
-
33744955193
-
-
Technical report, Carnegie Mellon Univ., Pittsburgh, PA
-
Zhu, X. (2005). Semi-supervised learning with graphs. Technical report, Carnegie Mellon Univ., Pittsburgh, PA.
-
(2005)
Semi-supervised learning with graphs
-
-
Zhu, X.1
-
36
-
-
33745456231
-
-
Technical report, Computer Sciences, Univ. Wisconsin-Madison
-
Zhu, X. (2007). Semi-supervised learning literature survey. Technical report, Computer Sciences, Univ. Wisconsin-Madison.
-
(2007)
Semi-supervised learning literature survey
-
-
Zhu, X.1
|