-
1
-
-
24044435942
-
Reducing multiclass to binary: a unifying approach for margin classifiers
-
Allwein E, Schapire R, Singer Y (2001) Reducing multiclass to binary: a unifying approach for margin classifiers. J Mach Learn Res 1: 113-141.
-
(2001)
J Mach Learn Res
, vol.1
, pp. 113-141
-
-
Allwein, E.1
Schapire, R.2
Singer, Y.3
-
2
-
-
36448945460
-
Boostmap: an embedding method for efficient nearest neighbor retrieval
-
Athitsos V, Alon J, Sclaroff S, Kollios G (2008) Boostmap: an embedding method for efficient nearest neighbor retrieval. IEEE Trans Pattern Anal Mach Intell 30(1): 89-104.
-
(2008)
IEEE Trans Pattern Anal Mach Intell
, vol.30
, Issue.1
, pp. 89-104
-
-
Athitsos, V.1
Alon, J.2
Sclaroff, S.3
Kollios, G.4
-
3
-
-
0032645080
-
An empirical comparison of voting classification algorithms: bagging, boosting, and variants
-
Bauer E, Kohavi R (1999) An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach Learn 36(1-2): 105-139.
-
(1999)
Mach Learn
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
5
-
-
0003408496
-
-
University of California, Irvine, Deptartment of Information and Computer Sciences
-
Blake CL, Merz CJ (1998) UCI repository of machine learning databases. http://www. ics. uci. edu/mlearn/MLRepository. html, University of California, Irvine, Deptartment of Information and Computer Sciences.
-
(1998)
UCI repository of machine learning databases
-
-
Blake, C.L.1
Merz, C.J.2
-
6
-
-
0030211964
-
Bagging predictors
-
Breiman L (1996) Bagging predictors. Mach Learn 24(2): 123-140.
-
(1996)
Mach Learn
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
7
-
-
0346786584
-
Arcing classifiers
-
Breiman L (1998) Arcing classifiers. Ann Stat 26(3): 801-849.
-
(1998)
Ann Stat
, vol.26
, Issue.3
, pp. 801-849
-
-
Breiman, L.1
-
8
-
-
0043245810
-
Boosting with the l2 loss: regression and classification
-
Buhlmann P, Yu B (2003) Boosting with the l2 loss: regression and classification. J Am Stat Assoc 98(462): 324-339.
-
(2003)
J Am Stat Assoc
, vol.98
, Issue.462
, pp. 324-339
-
-
Buhlmann, P.1
Yu, B.2
-
9
-
-
0036643072
-
Logistic regression, adaboost and bregman distances
-
Collins M, Schapire RE, Singer Y (2002) Logistic regression, adaboost and bregman distances. Mach Learn 48(1-3): 253-285.
-
(2002)
Mach Learn
, vol.48
, Issue.1-3
, pp. 253-285
-
-
Collins, M.1
Schapire, R.E.2
Singer, Y.3
-
11
-
-
0035470889
-
Greedy function approximation: a gradient boosting machine
-
Friedman JH (2001) Greedy function approximation: a gradient boosting machine. Ann Stat 29(5): 1189-1232.
-
(2001)
Ann Stat
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
12
-
-
0034164230
-
Additive logistic regression: a statistical view of boosting
-
Friedman JH, Hastie T, Tibshirani R (2000) Additive logistic regression: a statistical view of boosting. Ann Stat 28(2): 337-407.
-
(2000)
Ann Stat
, vol.28
, Issue.2
, pp. 337-407
-
-
Friedman, J.H.1
Hastie, T.2
Tibshirani, R.3
-
13
-
-
0001948145
-
Fast learning with incremental RBF networks
-
Fritzke B (1994) Fast learning with incremental RBF networks. Neural Process Lett 1(1): 2-5.
-
(1994)
Neural Process Lett
, vol.1
, Issue.1
, pp. 2-5
-
-
Fritzke, B.1
-
14
-
-
0029322622
-
An introduction to wavelets
-
Graps AL (1995) An introduction to wavelets. IEEE Comput Sci Eng 2(2): 50-61.
-
(1995)
IEEE Comput Sci Eng
, vol.2
, Issue.2
, pp. 50-61
-
-
Graps, A.L.1
-
15
-
-
0003684449
-
-
New York: Springer
-
Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning. Data mining, inference, and prediction, chapter boosting and additive trees. Springer, New York.
-
(2001)
The Elements of Statistical Learning. Data Mining, Inference, and Prediction, Chapter Boosting and Additive Trees
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
16
-
-
20744453850
-
A boosting approach for motif modeling using chip-chip data
-
Hong P, Liu XS, Zhou Q, Lu X, Liu JS, Wong WH (2005) A boosting approach for motif modeling using chip-chip data. Bioinformatics 21(11): 2636-2643.
-
(2005)
Bioinformatics
, vol.21
, Issue.11
, pp. 2636-2643
-
-
Hong, P.1
Liu, X.S.2
Zhou, Q.3
Lu, X.4
Liu, J.S.5
Wong, W.H.6
-
17
-
-
43249099069
-
A compact multi-resolution index for variable length queries in time series databases
-
Kadiyala S, Shiri N (2008) A compact multi-resolution index for variable length queries in time series databases. Knowl Inf Syst 15(2): 131-147.
-
(2008)
Knowl Inf Syst
, vol.15
, Issue.2
, pp. 131-147
-
-
Kadiyala, S.1
Shiri, N.2
-
21
-
-
0024700097
-
A theory for multiresolution signal decomposition: the wavelet representation
-
Mallat S (1989) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 11: 674-693.
-
(1989)
IEEE Trans Pattern Anal Mach Intell
, vol.11
, pp. 674-693
-
-
Mallat, S.1
-
22
-
-
80053916254
-
-
National Institute of Standards Information Technology Laboratory and Technology (NIST). Nist strd (statistics reference datasets)
-
National Institute of Standards Information Technology Laboratory and Technology (NIST). Nist strd (statistics reference datasets). http://www. itl. nist. gov/div898/strd/.
-
-
-
-
23
-
-
67349199540
-
Multiresolution-based bilinear recurrent neural network
-
Park D (2009) Multiresolution-based bilinear recurrent neural network. Knowl Inf Syst 19(2): 235-248.
-
(2009)
Knowl Inf Syst
, vol.19
, Issue.2
, pp. 235-248
-
-
Park, D.1
-
25
-
-
41149126769
-
Ensembles of relational classifiers
-
Preisach C, Schmidt-Thieme L (2008) Ensembles of relational classifiers. Knowl Inf Syst 14(3): 249-272.
-
(2008)
Knowl Inf Syst
, vol.14
, Issue.3
, pp. 249-272
-
-
Preisach, C.1
Schmidt-Thieme, L.2
-
28
-
-
50849110153
-
Analysis of boosting algorithms using the smooth margin function
-
Rudin C, Schapire RE, Daubechies I (2007) Analysis of boosting algorithms using the smooth margin function. Ann Stat 35(6): 2723-2768.
-
(2007)
Ann Stat
, vol.35
, Issue.6
, pp. 2723-2768
-
-
Rudin, C.1
Schapire, R.E.2
Daubechies, I.3
-
30
-
-
0032280519
-
Boosting the margin: a new explanation for the effectiveness of voting methods
-
Schapire RE, Freund Y, Bartlett P, Lee WS (1998) Boosting the margin: a new explanation for the effectiveness of voting methods. Ann Stat 26(5): 1651-1686.
-
(1998)
Ann Stat
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.E.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
31
-
-
0033281701
-
Improved boosting using confidence-rated predictions
-
Schapire RE, Singer Y (1999) Improved boosting using confidence-rated predictions. Mach Learn 37(3): 297-336.
-
(1999)
Mach Learn
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
33
-
-
1042300809
-
Boosting image retrieval
-
Tieu K, Viola PA (2004) Boosting image retrieval. Int J Comput Vis 56(1-2): 17-36.
-
(2004)
Int J Comput Vis
, vol.56
, Issue.1-2
, pp. 17-36
-
-
Tieu, K.1
Viola, P.A.2
-
34
-
-
2142812371
-
Robust real-time face detection
-
Viola PA, Jones MJ (2004) Robust real-time face detection. Int J Comput Vis 57(2): 137-154.
-
(2004)
Int J Comput Vis
, vol.57
, Issue.2
, pp. 137-154
-
-
Viola, P.A.1
Jones, M.J.2
-
35
-
-
0034247206
-
Multiboosting: a technique for combining boosting and wagging
-
Webb GI (2000) Multiboosting: a technique for combining boosting and wagging. Mach Learn 40(2): 159-196.
-
(2000)
Mach Learn
, vol.40
, Issue.2
, pp. 159-196
-
-
Webb, G.I.1
-
38
-
-
34250749560
-
-
Technical Report 430, Department of Statistics, University of Michigan
-
Zhu J, Rosset S, Zou H, Hastie T (2005) Multi-class adaboost. Technical Report 430, Department of Statistics, University of Michigan.
-
(2005)
Multi-class adaboost
-
-
Zhu, J.1
Rosset, S.2
Zou, H.3
Hastie, T.4
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