-
1
-
-
67649214465
-
Penalized SVM: A R-Package for Feature Selection SVM Classification
-
[556]
-
Becker, N., Werft, W., Toedt, G., Lichter, P., and Benner, A. (2009), "Penalized SVM: A R-Package for Feature Selection SVM Classification, " Bioinformatics, 25, 1711-1712. [556].
-
(2009)
Bioinformatics
, vol.25
, pp. 1711-1712
-
-
Becker, N.1
Werft, W.2
Toedt, G.3
Lichter, P.4
Benner, A.5
-
3
-
-
33748792000
-
Latent Class Logistic Regression: Application to Marijuana Use and Attitudes Among High School Seniors
-
[554]
-
Chung, H., Flaherty, B. P., and Schafer, J. L. (2006), "Latent Class Logistic Regression: Application to Marijuana Use and Attitudes Among High School Seniors, " Journal of the Royal Statistical Society, Series A, 169, 723-743. [554].
-
(2006)
Journal of the Royal Statistical Society, Series A
, vol.169
, pp. 723-743
-
-
Chung, H.1
Flaherty, B.P.2
Schafer, J.L.3
-
4
-
-
79954551538
-
On Propagated Scoring for Semisupervised Additive Models
-
[554]
-
Culp, M. (2011), "On Propagated Scoring for Semisupervised Additive Models, " Journal of the American Statistical Association, 106, 248-259. [554].
-
(2011)
Journal of the American Statistical Association
, vol.106
, pp. 248-259
-
-
Culp, M.1
-
5
-
-
0002629270
-
Maximum Likelihood from Incomplete Data via the EM Algorithm
-
[554]
-
Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977), "Maximum Likelihood from Incomplete Data via the EM Algorithm, " Journal of the Royal Statistical Society, Series B, 39, 1-38. [554].
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
6
-
-
84890014373
-
-
December, Poster Presentation at the Annual Meeting of the American College of Neuropsychopharmacology, Waikoloa, HI. [560]
-
Duan, N., Lebowitz, B., Reynolds, C., Simon, N., Wang, Y., Zisook, S., and Shear, K. (2011, December), "Factorial Clinical Trials for Hybrid (Explanatory and Pragmatic) Research Studies: Design of Optimizing Treatment for Complicated Grief, " Poster Presentation at the Annual Meeting of the American College of Neuropsychopharmacology, Waikoloa, HI. [560].
-
(2011)
Factorial Clinical Trials for Hybrid (Explanatory and Pragmatic) Research Studies: Design of Optimizing Treatment for Complicated Grief
-
-
Duan, N.1
Lebowitz, B.2
Reynolds, C.3
Simon, N.4
Wang, Y.5
Zisook, S.6
Shear, K.7
-
8
-
-
49549107073
-
Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
-
[562]
-
Johnson, B., Lin, D., and Zeng, D. (2008), "Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models, " Journal of the American Statistical Association, 103, 672-680. [562].
-
(2008)
Journal of the American Statistical Association
, vol.103
, pp. 672-680
-
-
Johnson, B.1
Lin, D.2
Zeng, D.3
-
9
-
-
37549063292
-
White Matter Connections Reflect Changes in Voluntary-Guided Saccades in Pre-Symptomatic Huntington's Disease
-
[553]
-
Klöppel, S., Draganski, B., Golding, C. V., Chu, C., Nagy, Z., Cook, P. A., Hicks, S. L., Kennard, C., Alexander, D. C., Parker, G. J., Tabrizi, S. J., and Frackowiak, R. S. (2008), "White Matter Connections Reflect Changes in Voluntary-Guided Saccades in Pre-Symptomatic Huntington's Disease, " Brain, 131, 196-204. [553].
-
(2008)
Brain
, vol.131
, pp. 196-204
-
-
Klöppel, S.1
Draganski, B.2
Golding, C.V.3
Chu, C.4
Nagy, Z.5
Cook, P.A.6
Hicks, S.L.7
Kennard, C.8
Alexander, D.C.9
Parker, G.J.10
Tabrizi, S.J.11
Frackowiak, R.S.12
-
10
-
-
33947382228
-
Developing the Diagnostic and Statistical Manual V: What will "Statistical" Mean in DSM-V?
-
[553,563]
-
Kraemer, H. C., Shrout, P. E., and Rubio-Stipec, M. (2007), "Developing the Diagnostic and Statistical Manual V: What will "Statistical" Mean in DSM-V?, " Social Psychiatry and Psychiatric Epidemiology, 42, 259-267. [553,563].
-
(2007)
Social Psychiatry and Psychiatric Epidemiology
, vol.42
, pp. 259-267
-
-
Kraemer, H.C.1
Shrout, P.E.2
Rubio-Stipec, M.3
-
11
-
-
0036258405
-
Support Vector Machine and the Bayes Rule in Classification
-
[553,555]
-
Lin, Y. (2002), "Support Vector Machine and the Bayes Rule in Classification, " Data Mining and Knowledge Discovery, 6, 259-275. [553,555].
-
(2002)
Data Mining and Knowledge Discovery
, vol.6
, pp. 259-275
-
-
Lin, Y.1
-
12
-
-
0036161029
-
Support Vector Machines for Classification in Non-Standard Situations
-
[563]
-
Lin, Y., Lee, Y., and Wahba, G. (2002), "Support Vector Machines for Classification in Non-Standard Situations, " Machine Learning, 46, 191-202. [563].
-
(2002)
Machine Learning
, vol.46
, pp. 191-202
-
-
Lin, Y.1
Lee, Y.2
Wahba, G.3
-
13
-
-
15944365213
-
Multicategory ψ-Learning and Support Vector Machine: Computational Tools
-
[553,563]
-
Liu, Y., Shen, X., and Doss, H. (2005), "Multicategory ψ-Learning and Support Vector Machine: Computational Tools, " Journal of Computational and Graphical Statistics, 14, 219-236. [553,563].
-
(2005)
Journal of Computational and Graphical Statistics
, vol.14
, pp. 219-236
-
-
Liu, Y.1
Shen, X.2
Doss, H.3
-
15
-
-
33846662159
-
Support Vector Machines with Applications
-
[553]
-
Moguerza, J., and Munoz, A. (2006), "Support Vector Machines with Applications, " Statistical Science, 21, 322-336. [553].
-
(2006)
Statistical Science
, vol.21
, pp. 322-336
-
-
Moguerza, J.1
Munoz, A.2
-
16
-
-
0036258012
-
The Work and Social Adjustment Scale: A Simple Measure of Impairment in Functioning
-
[554,560]
-
Mundt, J., Marks, I., Shear, M., and Greist, J. (2002), "The Work and Social Adjustment Scale: A Simple Measure of Impairment in Functioning, " The British Journal of Psychiatry, 180, 461-464. [554,560].
-
(2002)
The British Journal of Psychiatry
, vol.180
, pp. 461-464
-
-
Mundt, J.1
Marks, I.2
Shear, M.3
Greist, J.4
-
17
-
-
0033886806
-
Text Classification From Labeled and Unlabeled Documents Using EM
-
[554]
-
Nigam, K., McCallum, A., Thrun, S., and Mitchell, T. (1998), "Text Classification From Labeled and Unlabeled Documents Using EM, " Machine Learning, 39, 103-134. [554].
-
(1998)
Machine Learning
, vol.39
, pp. 103-134
-
-
Nigam, K.1
McCallum, A.2
Thrun, S.3
Mitchell, T.4
-
18
-
-
84857000430
-
Using Support Vector Machine to Identify Imaging Biomarkers of Neurological and Psychiatric Disease: A Critical Review
-
[553]
-
Orru, G., Pettersson-Yeo, W., Marquand, A. F., Sartori, G., and Mechelli, A. (2012), "Using Support Vector Machine to Identify Imaging Biomarkers of Neurological and Psychiatric Disease: A Critical Review, " Neuroscience & Biobehavioral Reviews, 36, 1140-1152. [553].
-
(2012)
Neuroscience & Biobehavioral Reviews
, vol.36
, pp. 1140-1152
-
-
Orru, G.1
Pettersson-Yeo, W.2
Marquand, A.F.3
Sartori, G.4
Mechelli, A.5
-
19
-
-
84862784576
-
Oracle Properties of SCAD-Penalized Support Vector Machine
-
[564]
-
Park, C., Kim, K., Myung, R., and Kood, J. (2012), "Oracle Properties of SCAD-Penalized Support Vector Machine, " Journal of Statistical Planning & Inference, 142, 2257-2270. [564].
-
(2012)
Journal of Statistical Planning & Inference
, vol.142
, pp. 2257-2270
-
-
Park, C.1
Kim, K.2
Myung, R.3
Kood, J.4
-
21
-
-
69349102731
-
Prolonged Grief Disorder: Psychometric Validation of Criteria Proposed for DSM-V and ICD-11
-
[560]
-
Prigerson, H. G., Horowitz, M. J., Jacobs, S. C., Parkes, C. M., Aslan, M., Goodkin, K., Raphael, B., Marwit, S. J., Wortman, C., Neimeyer, R. A., Bonanno, G., Block, S. D., Kissane, D., Boelen, P., Maercker, A., Litz, B. T., Johnson, J. G. First, M. B., Maciejewski, P. K. (2009), "Prolonged Grief Disorder: Psychometric Validation of Criteria Proposed for DSM-V and ICD-11, " PLoS Medicine, 6, e1000121. [560].
-
(2009)
PLoS Medicine
, vol.6
-
-
Prigerson, H.G.1
Horowitz, M.J.2
Jacobs, S.C.3
Parkes, C.M.4
Aslan, M.5
Goodkin, K.6
Raphael, B.7
Marwit, S.J.8
Wortman, C.9
Neimeyer, R.A.10
Bonanno, G.11
Block, S.D.12
Kissane, D.13
Boelen, P.14
Maercker, A.15
Litz, B.T.16
Johnson, J.G.17
First, M.B.18
Maciejewski, P.K.19
-
22
-
-
0029557903
-
Inventory of Complicated Grief: A Scale to Measure Maladaptive Symptoms of Loss
-
[560]
-
Prigerson, H., Maciejewski, P., Reynolds, C., Bierhals, A., Newsom, J., Fasiczka, A., and Miller, M. (1995), "Inventory of Complicated Grief: A Scale to Measure Maladaptive Symptoms of Loss, " Psychiatry Research, 59, 65-79. [560].
-
(1995)
Psychiatry Research
, vol.59
, pp. 65-79
-
-
Prigerson, H.1
Maciejewski, P.2
Reynolds, C.3
Bierhals, A.4
Newsom, J.5
Fasiczka, A.6
Miller, M.7
-
23
-
-
34547675831
-
Generalization Error Bounds in Semi-Supervised Classification Under the Cluster Assumption
-
[554]
-
Rigollet, P. (2007), "Generalization Error Bounds in Semi-Supervised Classification Under the Cluster Assumption, " Journal of Machine Learning Research, 8, 1369-1392. [554].
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1369-1392
-
-
Rigollet, P.1
-
24
-
-
84862009593
-
-
available at, [564]
-
Rocha, G. V., Wang, X., and Yu, B. (2009), "Asymptotic Distribution and Sparsistency for l1-Penalized Parametric M-Estimators With Applications to Linear SVM and Logistic Regression, " available at http://arxiv.org/abs/0908.1940v1 [564].
-
(2009)
Asymptotic Distribution and Sparsistency for l1-Penalized Parametric M-Estimators With Applications to Linear SVM and Logistic Regression
-
-
Rocha, G.V.1
Wang, X.2
Yu, B.3
-
25
-
-
38849166655
-
Evaluation of Diagnostic TestsWhen There is no Gold Standard. A Review of Methods
-
563
-
Rutjes, A., Reitsma, J., Coomarasamy, A., Khan, K., and Bossuyt, P. (2007), "Evaluation of Diagnostic TestsWhen There is no Gold Standard. A Review of Methods, " Health Technology Assessment, vol. 11. [563].
-
(2007)
Health Technology Assessment
, vol.11
-
-
Rutjes, A.1
Reitsma, J.2
Coomarasamy, A.3
Khan, K.4
Bossuyt, P.5
-
26
-
-
79551625648
-
Complicated Grief and Related Bereavement Issues for DSM-5
-
[554,560]
-
Shear, M. K., Simon, N., Wall, M., Zisook, S., Neimeyer, R., Duan, N., Reynolds, C., Lebowitz, B., Sung, S., Ghesquiere, A., Gorscak, B., Clayton, P., Ito, M., Nakajima, S., Konishi, T., Melhem, N., Meert, K., Schiff, M., O'Connor, M. F., First, M., Sareen, J., Bolton, J., Skritskaya, N., Mancini, A. D., and Keshaviah, A. (2011a), "Complicated Grief and Related Bereavement Issues for DSM-5, " Depression and Anxiety, 28, 103-117. [554,560].
-
(2011)
Depression and Anxiety
, vol.28
, pp. 103-117
-
-
Shear, M.K.1
Simon, N.2
Wall, M.3
Zisook, S.4
Neimeyer, R.5
Duan, N.6
Reynolds, C.7
Lebowitz, B.8
Sung, S.9
Ghesquiere, A.10
Gorscak, B.11
Clayton, P.12
Ito, M.13
Nakajima, S.14
Konishi, T.15
Melhem, N.16
Meert, K.17
Schiff, M.18
O'Connor, M.F.19
First, M.20
Sareen, J.21
Bolton, J.22
Skritskaya, N.23
Mancini, A.D.24
Keshaviah, A.25
more..
-
27
-
-
84890042467
-
-
December, Poster Presentation at the Annual Meeting of the American College of Neuropsychopharmacology, Waikoloa, HI. [560]
-
Shear, K., Skritskaya, N., Duan, N., Mauro, C., Wang, Y., Lebowitz, B., Reynolds, C., Simon, N., Zisook, S., Glickman, K., Guesquiere, A., Worthington, J., LeBlanc, N., and Young, I. T. (2011b, December), "Suicide, Depression and Complicated Grief, " Poster Presentation at the Annual Meeting of the American College of Neuropsychopharmacology, Waikoloa, HI. [560].
-
(2011)
Suicide, Depression and Complicated Grief
-
-
Shear, K.1
Skritskaya, N.2
Duan, N.3
Mauro, C.4
Wang, Y.5
Lebowitz, B.6
Reynolds, C.7
Simon, N.8
Zisook, S.9
Glickman, K.10
Guesquiere, A.11
Worthington, J.12
LeBlanc, N.13
Young, I.T.14
-
28
-
-
19644391940
-
Treatment of Complicated Grief: A Randomized Controlled Trial
-
[554,560]
-
Shear, K., Frank, E., Houck, P. R., and Reynolds, 3rd, C. F. (2005), "Treatment of Complicated Grief: A Randomized Controlled Trial, " Journal of the American Medical Association, 293, 2601-2608. [554,560].
-
(2005)
Journal of the American Medical Association
, vol.293
, pp. 2601-2608
-
-
Shear, K.1
Frank, E.2
Houck, P.R.3
Reynolds III, C.F.4
-
29
-
-
0242679446
-
On Psi-Learning
-
[553,555]
-
Shen, X., Tseng, G. C., Zhang, X., and Wong, W. (2003), "On Psi-Learning, " Journal of the American Statistical Association, 98, 724-734. [553,555].
-
(2003)
Journal of the American Statistical Association
, vol.98
, pp. 724-734
-
-
Shen, X.1
Tseng, G.C.2
Zhang, X.3
Wong, W.4
-
30
-
-
79551625861
-
Informing the Symptom Profile forComplicated Grief
-
[560]
-
Simon, N., Wall, M. M., Keshaviah, A., Dryman, M., LeBlanc, N., and Shear, K. (2011), "Informing the Symptom Profile forComplicated Grief, " Depression and Anxiety, 28, 118-126. [560].
-
(2011)
Depression and Anxiety
, vol.28
, pp. 118-126
-
-
Simon, N.1
Wall, M.M.2
Keshaviah, A.3
Dryman, M.4
LeBlanc, N.5
Shear, K.6
-
34
-
-
0003267918
-
GACVfor SupportVectorMachines, or, Another Way to Look at Margin-Like Quantities
-
in, eds. A.J. Smola, P. Bartlett, B. Scholkopf, and D. Schurmans, Cambridge, MA: MIT Press,. [557]
-
Wahba, G., Lin, Y., and Zhang, H. (2000), "GACVfor SupportVectorMachines, or, Another Way to Look at Margin-Like Quantities, " in Advances in Large Margin Classifiers, eds. A. J. Smola, P. Bartlett, B. Scholkopf, and D. Schurmans, Cambridge, MA: MIT Press, pp. 297-309. [557].
-
(2000)
Advances in Large Margin Classifiers
, pp. 297-309
-
-
Wahba, G.1
Lin, Y.2
Zhang, H.3
-
35
-
-
40249094631
-
Probability Estimation for Large Margin Classifiers
-
[554,559,562]
-
Wang, J., Shen, X., and Liu, Y. (2008a), "Probability Estimation for Large Margin Classifiers, " Biometrika, 95, 149-167. [554,559,562].
-
(2008)
Biometrika
, vol.95
, pp. 149-167
-
-
Wang, J.1
Shen, X.2
Liu, Y.3
-
36
-
-
64149104410
-
On Efficient Large Margin Semisupervised Learning: Method and Theory
-
[553,554]
-
Wang, J., Shen, X., and Pan, W. (2009), "On Efficient Large Margin Semisupervised Learning: Method and Theory, " Journal of the Machine Learning Research, 10, 719-742. [553,554].
-
(2009)
Journal of the Machine Learning Research
, vol.10
, pp. 719-742
-
-
Wang, J.1
Shen, X.2
Pan, W.3
-
37
-
-
38849091390
-
Hybrid Huberized Support VectorMachines for Microarray Classification and Gene Selection
-
[556,557]
-
Wang, L., Zhu, J., and Zou, H. (2008b), "Hybrid Huberized Support VectorMachines for Microarray Classification and Gene Selection, " Bioinformatics, 24, 412-419. [556,557].
-
(2008)
Bioinformatics
, vol.24
, pp. 412-419
-
-
Wang, L.1
Zhu, J.2
Zou, H.3
-
38
-
-
80052790888
-
Prediction Based Structured Variable Selection Through Penalized Support Vector Machine
-
[553]
-
Wang, Y., Chen, H., Schwartz, T., Duan, N., Parcesepe, A., and Lewis-Fernandez, R. (2011), "Prediction Based Structured Variable Selection Through Penalized Support Vector Machine, " Biometrics, 67, 896-905. [553].
-
(2011)
Biometrics
, vol.67
, pp. 896-905
-
-
Wang, Y.1
Chen, H.2
Schwartz, T.3
Duan, N.4
Parcesepe, A.5
Lewis-Fernandez, R.6
-
39
-
-
35348869458
-
Robust Truncated-Hinge-Loss Support Vector Machines
-
[553]
-
Wu, Y., and Liu, Y. (2007), "Robust Truncated-Hinge-Loss Support Vector Machines, " Journal of the American Statistical Association, 102, 974-983. [553].
-
(2007)
Journal of the American Statistical Association
, vol.102
, pp. 974-983
-
-
Wu, Y.1
Liu, Y.2
-
40
-
-
33749255074
-
Maximum Margin Clustering
-
[554,562]
-
Xu, L., Neufeld, J., Larson, B., and Schuurmans, D. (2004), "Maximum Margin Clustering, " Advances in Neural Information Processing Systems, 17, 1537-1544. [554,562].
-
(2004)
Advances in Neural Information Processing Systems
, vol.17
, pp. 1537-1544
-
-
Xu, L.1
Neufeld, J.2
Larson, B.3
Schuurmans, D.4
-
41
-
-
29344456217
-
Unsupervised and Semi-Supervised Multi-Class Support Vector Machines
-
in,. [554]
-
Xu, L., and Schuurmans, D. (2005), "Unsupervised and Semi-Supervised Multi-Class Support Vector Machines, " in AAAI-05, The Twentieth National Conference on Artificial Intelligence, pp. 904-910. [554].
-
(2005)
AAAI-05, The Twentieth National Conference on Artificial Intelligence
, pp. 904-910
-
-
Xu, L.1
Schuurmans, D.2
-
42
-
-
30344438839
-
Gene Selection Using Support Vector Machine With Non-Convex Penalty
-
[553,554,556,562]
-
Zhang, H., Ahn, J., Lin, X., and Park, C. (2006), "Gene Selection Using Support Vector Machine With Non-Convex Penalty, " Bioinformatics, 22, 88-95. [553,554,556,562].
-
(2006)
Bioinformatics
, vol.22
, pp. 88-95
-
-
Zhang, H.1
Ahn, J.2
Lin, X.3
Park, C.4
-
43
-
-
24644515558
-
1-Norm Support VectorMachines
-
[553,556]
-
Zhu, J., Rosset, S., Hastie, T., and Tibshirani, R. (2003), "1-Norm Support VectorMachines, " Advances in Neural Information Processing Systems, 16, 49-56. [553,556].
-
(2003)
Advances in Neural Information Processing Systems
, vol.16
, pp. 49-56
-
-
Zhu, J.1
Rosset, S.2
Hastie, T.3
Tibshirani, R.4
-
44
-
-
16244401458
-
Regularization and Variable Selection via the Elastic Net
-
[555,556]
-
Zou, H., and Hastie, T. (2005), "Regularization and Variable Selection via the Elastic Net, " Journal of the Royal Statistical Society, Series B, 67, 301-320. [555,556].
-
(2005)
Journal of the Royal Statistical Society, Series B
, vol.67
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
|