-
1
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund Y, Schapire RE (1997) A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55:119–139
-
(1997)
J Comput Syst Sci
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
2
-
-
84957450557
-
-
Quinlan J (1996) Bagging, boosting, and C4.5. Presented at proc. 13th national conference on artificial intelligence, Cambridge, MA
-
Quinlan J (1996) Bagging, boosting, and C4.5. Presented at proc. 13th national conference on artificial intelligence, Cambridge, MA
-
-
-
-
3
-
-
0030211964
-
Bagging predictors
-
Breiman L (1996) Bagging predictors. Mach Learn 24:123–140
-
(1996)
Mach Learn
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
4
-
-
0346786584
-
Arcing classifiers
-
Breiman L (1998) Arcing classifiers. Ann Stat 26:801–849
-
(1998)
Ann Stat
, vol.26
, pp. 801-849
-
-
Breiman, L.1
-
5
-
-
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 36:105–139
-
(1999)
Mach Learn
, vol.36
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
8
-
-
11144281845
-
-
Martinez-Munoz G, Suarez A (2004) Aggregation ordering in bagging. Presented at international conference on artificial intelligence and applications
-
Martinez-Munoz G, Suarez A (2004) Aggregation ordering in bagging. Presented at international conference on artificial intelligence and applications
-
-
-
-
9
-
-
0032280519
-
Boosting the margin: a new explanation for the effectiveness of voting methods
-
Schapire R, Freund Y, Bartlett P, Lee W (1998) Boosting the margin: a new explanation for the effectiveness of voting methods. Ann Stat 12:1651–1686
-
(1998)
Ann Stat
, vol.12
, pp. 1651-1686
-
-
Schapire, R.1
Freund, Y.2
Bartlett, P.3
Lee, W.4
-
10
-
-
84957450559
-
-
Margineantu D, Dietterich T (1997) Pruning adaptive boosting. Presented at proceedings of the 14th international conference on machine learning
-
Margineantu D, Dietterich T (1997) Pruning adaptive boosting. Presented at proceedings of the 14th international conference on machine learning
-
-
-
-
11
-
-
84884292459
-
Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification
-
Idris A, Khan A, Lee YS (2013) Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification. Appl Intell 39:659–672
-
(2013)
Appl Intell
, vol.39
, pp. 659-672
-
-
Idris, A.1
Khan, A.2
Lee, Y.S.3
-
12
-
-
84882829483
-
Comparison of individual and combined ANN models for prediction of air and dew point temperature
-
Nadig K, Potter W, Hoogenboom G, McClendon R (2013) Comparison of individual and combined ANN models for prediction of air and dew point temperature. Appl Intell 39:354–366
-
(2013)
Appl Intell
, vol.39
, pp. 354-366
-
-
Nadig, K.1
Potter, W.2
Hoogenboom, G.3
McClendon, R.4
-
13
-
-
84894544944
-
Red tides prediction system using fuzzy reasoning and the ensemble method
-
Park S, Lee SR (2013) Red tides prediction system using fuzzy reasoning and the ensemble method. Appl Intell. doi:10.1007/s10489-013-0457-1
-
(2013)
Appl Intell
-
-
Park, S.1
Lee, S.R.2
-
14
-
-
84957450560
-
-
Caruana R, Munson A, Niculescu-Mizil A (2006) Getting the most out of ensemble selection. Presented at sixth international conference on data mining, Hong Kong
-
Caruana R, Munson A, Niculescu-Mizil A (2006) Getting the most out of ensemble selection. Presented at sixth international conference on data mining, Hong Kong
-
-
-
-
18
-
-
84957450561
-
-
Zhenyu L, Xindong W, Xingquan Z, Josh B (2010) Ensemble pruning via individual contribution ordering
-
Zhenyu L, Xindong W, Xingquan Z, Josh B (2010) Ensemble pruning via individual contribution ordering
-
-
-
-
19
-
-
33745794076
-
Ensemble pruning via semi-definite programming
-
Zhang Y, Burer S, Street WN (2006) Ensemble pruning via semi-definite programming. J Mach Learn Res 7:1315–1338
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1315-1338
-
-
Zhang, Y.1
Burer, S.2
Street, W.N.3
-
20
-
-
22844439516
-
Switching class labels to generate classification ensembles
-
Martínez-Muñoz G, Suárez A (2005) Switching class labels to generate classification ensembles. Pattern Recognit 38:1483–1494
-
(2005)
Pattern Recognit
, vol.38
, pp. 1483-1494
-
-
Martínez-Muñoz, G.1
Suárez, A.2
-
21
-
-
61849098236
-
Pruning an ensemble of classifiers via reinforcement learning
-
Partalas I, Tsoumakas G, Vlahavas I (2009) Pruning an ensemble of classifiers via reinforcement learning. Neurocomputing 72:1900–1909
-
(2009)
Neurocomputing
, vol.72
, pp. 1900-1909
-
-
Partalas, I.1
Tsoumakas, G.2
Vlahavas, I.3
-
22
-
-
0036567392
-
Ensembling neural networks: many could be better than all
-
Zhou Z-H, Wu J, Tang W (2002) Ensembling neural networks: many could be better than all. Artif Intell 137:239–263
-
(2002)
Artif Intell
, vol.137
, pp. 239-263
-
-
Zhou, Z.-H.1
Wu, J.2
Tang, W.3
-
25
-
-
84870065802
-
A competitive ensemble pruning approach based on cross-validation technique
-
Dai Q (2013) A competitive ensemble pruning approach based on cross-validation technique. Knowl-Based Syst 37:394–414
-
(2013)
Knowl-Based Syst
, vol.37
, pp. 394-414
-
-
Dai, Q.1
-
26
-
-
84885377748
-
ModEnPBT: a modified backtracking ensemble pruning algorithm
-
Dai Q, Liu Z (2013) ModEnPBT: a modified backtracking ensemble pruning algorithm. Appl Soft Comput 13:4292–4302
-
(2013)
Appl Soft Comput
, vol.13
, pp. 4292-4302
-
-
Dai, Q.1
Liu, Z.2
-
27
-
-
14344255621
-
-
Caruana R, Niculescu-Mizil A, Crew G, Ksikes A (2004) Ensemble selection from libraries of models. Presented at proceedings of the 21st international conference on machine learning
-
Caruana R, Niculescu-Mizil A, Crew G, Ksikes A (2004) Ensemble selection from libraries of models. Presented at proceedings of the 21st international conference on machine learning
-
-
-
-
30
-
-
84857820925
-
A new selective neural network ensemble with negative correlation
-
Lee H, Kim E, Pedrycz W (2012) A new selective neural network ensemble with negative correlation. Appl Intell 37:488–498
-
(2012)
Appl Intell
, vol.37
, pp. 488-498
-
-
Lee, H.1
Kim, E.2
Pedrycz, W.3
-
31
-
-
84957450563
-
-
Tamon C, Xiang J (2000) On the boosting pruning problem. Presented at 11th European conference on machine learning, Springer, Berlin
-
Tamon C, Xiang J (2000) On the boosting pruning problem. Presented at 11th European conference on machine learning, Springer, Berlin
-
-
-
-
32
-
-
78049528785
-
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
-
Partalas I, Tsoumakas G, Vlahavas I (2010) An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. Mach Learn 81:257–282
-
(2010)
Mach Learn
, vol.81
, pp. 257-282
-
-
Partalas, I.1
Tsoumakas, G.2
Vlahavas, I.3
-
33
-
-
84884210298
-
A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot
-
Dai Q (2013) A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot. Neurocomputing 122:258–265
-
(2013)
Neurocomputing
, vol.122
, pp. 258-265
-
-
Dai, Q.1
-
34
-
-
0000049494
-
Greedy randomized adaptive search procedures
-
Feo TA, Resende MGC (1995) Greedy randomized adaptive search procedures. J Glob Optim 6:109–133
-
(1995)
J Glob Optim
, vol.6
, pp. 109-133
-
-
Feo, T.A.1
Resende, M.G.C.2
-
35
-
-
84957450564
-
-
Gevezes T, Pitsoulis L (2013) A greedy randomized adaptive search procedure with path relinking for the shortest superstring problem. J Comb Optim, 1–25
-
Gevezes T, Pitsoulis L (2013) A greedy randomized adaptive search procedure with path relinking for the shortest superstring problem. J Comb Optim, 1–25
-
-
-
-
36
-
-
84862223543
-
An improved heuristic for the far from most strings problem
-
Mousavi SR, Babaie M, Montazerian M (2012) An improved heuristic for the far from most strings problem. J Heuristics 18:239–262
-
(2012)
J Heuristics
, vol.18
, pp. 239-262
-
-
Mousavi, S.R.1
Babaie, M.2
Montazerian, M.3
-
37
-
-
0012587086
-
Greedy randomized adaptive search procedures
-
Glover F, Kochenberger G, (eds), Kluwer Academic, Norwell
-
Resende MGC, Ribeiro CC (2003) Greedy randomized adaptive search procedures. In: Glover F, Kochenberger G (eds) Handbook of metaheuristics. Kluwer Academic, Norwell, pp 219–249
-
(2003)
Handbook of metaheuristics
, pp. 219-249
-
-
Resende, M.G.C.1
Ribeiro, C.C.2
-
39
-
-
84879647638
-
A new greedy randomized adaptive search procedure for multiple sequence alignment
-
Layeb A, Selmane M, Bencheikh Elhoucine M (2013) A new greedy randomized adaptive search procedure for multiple sequence alignment. Int J Bioinform Res Appl 9:1–14
-
(2013)
Int J Bioinform Res Appl
, vol.9
, pp. 1-14
-
-
Layeb, A.1
Selmane, M.2
Bencheikh Elhoucine, M.3
-
40
-
-
84957450565
-
-
Fan W, Chu F, Wang H, Yu PS (2002) Pruning and dynamic scheduling of cost-sensitive ensembles. Presented at eighteenth national conference on artificial intelligence, American association for artificial intelligence
-
Fan W, Chu F, Wang H, Yu PS (2002) Pruning and dynamic scheduling of cost-sensitive ensembles. Presented at eighteenth national conference on artificial intelligence, American association for artificial intelligence
-
-
-
-
41
-
-
84957450566
-
-
Partalas I, Tsoumakas G, Vlahavas I (2012) A study on greedy algorithms for ensemble pruning. Technical report TR-LPIS-360-12, Department of Informatics, Aristotle University of Thessaloniki, Greece
-
Partalas I, Tsoumakas G, Vlahavas I (2012) A study on greedy algorithms for ensemble pruning. Technical report TR-LPIS-360-12, Department of Informatics, Aristotle University of Thessaloniki, Greece
-
-
-
-
43
-
-
33749018252
-
An analysis of diversity measures
-
Tang E, Suganthan P, Yao X (2006) An analysis of diversity measures. Mach Learn 65:247–271
-
(2006)
Mach Learn
, vol.65
, pp. 247-271
-
-
Tang, E.1
Suganthan, P.2
Yao, X.3
-
45
-
-
84957450567
-
-
Asuncion A, Newman DJ (2007) UCI machine learning repository
-
Asuncion A, Newman DJ (2007) UCI machine learning repository
-
-
-
-
46
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demšar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1–30
-
(2006)
J Mach Learn Res
, vol.7
, pp. 1-30
-
-
Demšar, J.1
|