Tag bagging [39 articles] Export

Recent papers classified by the tag bagging.

	Bagging, Boosting and the Random Subspace Method for Linear Classifiers [My Copy] Pattern Analysis & Applications, Vol. 5, No. 2. (20 June 2002), pp. 121-135. by Marina Skurichina, Robert P. W. Duin posted to random_subspace_method boosting bagging by sona to the group Random Subspace Method on 2009-11-13 14:18:36 as
	Learning Ensembles from Bites: A Scalable and Accurate Approach [My Copy] Journal of Machine Learning Research, Vol. 5 (April 2004), pp. 421-451. by Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer posted to ensemble boosting bagging by jjrodriguez on 2009-10-01 11:35:15 as
	Active Learning for kNN Based on Bagging Features [My Copy] International Conference on Natural Computation In International Conference on Natural Computation, Vol. 7 (2008), pp. 61-64. by Shuo Shi, Yuhai Liu, Yuehua Huang, Shihua Zhu, Yong Liu posted to random-subspace-method knn bagging active-learning by sona on 2009-09-28 13:05:33 as
	Query Learning Strategies Using Boosting and Bagging [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 1-9. by Naoki Abe, Hiroshi Mamitsuka posted to qbc boosting bagging by jdu on 2009-09-21 22:10:11 as
	Out-of-bag estimation of the optimal sample size in bagging [My Copy] Pattern Recognition, Vol. 43, No. 1. (28 January 2010), pp. 143-152. by Gonzalo Martínez-Muñoz, Alberto Suárez posted to bagging by jjrodriguez on 2009-08-24 10:56:57 as
	Experimental study for the comparison of classifier combination methods [My Copy] Pattern Recognition, Vol. 40, No. 1. (January 2007), pp. 33-40. by S. Sohn, H. Shin posted to bagging ensemble ensemble_selection experimental_methodology random_subspace by jjrodriguez on 2009-07-31 17:25:07 as
	Exact bootstrap k -nearest neighbor learners [My Copy] Machine Learning by Brian Steele posted to bagging nearest_neighbor regression by jjrodriguez on 2009-05-02 11:03:50 as
	Using Iterated Bagging to Debias Regressions [My Copy] Machine Learning, Vol. 45, No. 3. (1 December 2001), pp. 261-277. by Leo Breiman posted to bagging regression by jjrodriguez on 2009-04-29 12:12:59 as
	An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization [My Copy] Machine Learning, Vol. 40, No. 2. (2000), pp. 139-157. by Thomas G. Dietterich posted to bagging boosting by drivard on 2009-03-13 18:44:52 as along with 1 person AbnerCYH
	Bagging predictors [My Copy] In Machine Learning, Vol. 24 (1996), pp. 123-140. by Leo Breiman posted to bagging ensemble by haiyeong on 2009-02-21 16:24:03 as
	Using Boosting to prune Double-Bagging ensembles [My Copy] Computational Statistics & Data Analysis, Vol. 53, No. 4. (15 February 2009), pp. 1218-1231. by C. Zhang, J. Zhang, G. Zhang posted to bagging boosting ensemble ensemble_selection invref by jjrodriguez on 2009-02-05 09:58:17 as
	Bagging Predictors [My Copy] Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140. by Leo Breiman posted to bagging by jdu on 2009-02-01 00:42:25 as along with 8 people gabriprat mthomure santi515 kliger sona ngarera maheshj drivard
	An Analysis of Ensemble Pruning Techniques Based on Ordered Aggregation [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 2. (2009), pp. 245-259. by D. Mart&#x0e, Nez-Mu&#x0f1, Gonzalo Oz, et al. Hern&#x0e1, Daniel Ndez-Lobato, Su&#x0e1, Alberto Rez posted to bagging ensemble by jjrodriguez on 2009-01-12 17:20:08 as along with 1 person and 1 group haiyeong mlkd
	Statistical Instance-Based Pruning in Ensembles of Independent Classifiers [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 2. (2009), pp. 364-369. by Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez posted to bagging ensemble by haiyeong on 2008-12-31 20:16:15 as along with 1 person jjrodriguez
	Class-switching neural network ensembles [My Copy] Neurocomputing, Vol. 71, No. 13-15. (August 2008), pp. 2521-2528. by G. Martinezmunoz, A. Sanchezmartinez, D. Hernandezlobato, A. Suarez posted to bagging boosting ensemble neural_network by jjrodriguez on 2008-11-25 13:05:02 as
	Combining Bias and Variance Reduction Techniques for Regression Trees [My Copy] Machine Learning: ECML 2005 (2005), pp. 741-749. by Yuk Suen, Prem Melville, Raymond Mooney posted to bagging ensemble regression by jjrodriguez on 2008-11-05 11:31:44 as
	A Comparison of Decision Tree Ensemble Creation Techniques [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 1. (2007), pp. 173-180. by R. E. Banfield, L. O. Hall, K. W. Bowyer, W. P. Kegelmeyer posted to bagging boosting ensemble random_forest by polykrates on 2008-10-21 13:33:22 as along with 1 person jjrodriguez
	Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample. [My Copy] Journal of bioscience and bioengineering, Vol. 105, No. 1. (January 2008), pp. 81-84. by T. Kawamura, H. Takahashi, H. Honda posted to bs bagging ma by guhjy on 2008-09-28 04:12:16 as
	An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization [My Copy] Machine Learning, Vol. 40, No. 2. (2000), pp. 139-157. by Thomas G. Dietterich posted to bagging boosting decision_tree ensemble by jjrodriguez on 2008-09-09 15:33:40 as along with 2 people and 1 group bcroy thangvu MAML
	Random Forests [My Copy] Machine Learning, Vol. 45, No. 1. (1 October 2001), pp. 5-32. by Leo Breiman posted to bagging cart classification statistics by abrentnall on 2008-09-08 17:53:00 as along with 22 people and 1 group ucbcjbm sona srp33 felixandrews Borelli ipark-kaist alexeigor dekrays mdifranc wicker alinatunin kliger polykrates kaarsinogen sdvillal maheshj lp2 poluxmoon jdu AbnerCYH carlk yaroslavvb Random Subspace Method
	Stability of Randomized Learning Algorithms [My Copy] Journal of Machine Learning Research, Vol. 6 (January 2005), pp. 55-79. by Andre Elisseeff, Theodoros Evgeniou, Massimiliano Pontil posted to bagging bootstrapping randomized-algorithm sensitivity-analysis stability by sona on 2008-08-21 13:06:37 as
	Explaining Classifications For Individual Instances [My Copy] Knowledge and Data Engineering, IEEE Transactions on In Knowledge and Data Engineering, IEEE Transactions on, Vol. 20, No. 5. (2008), pp. 589-600. by M. Robnik-Sikonja, I. Kononenko posted to bagging boosting ensemble visualization by jjrodriguez on 2008-08-14 11:17:11 as along with 1 person sdvillal
	Bagging with adaptive costs [My Copy] Data Mining, Fifth IEEE International Conference on In Data Mining, Fifth IEEE International Conference on (2005), 4 pp.. by Yi Zhang, W. N. Street posted to bagging costs by jjrodriguez on 2008-08-14 11:13:49 as
	Bagging and Boosting Negatively Correlated Neural Networks [My Copy] Systems, Man, and Cybernetics, Part B, IEEE Transactions on In Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 38, No. 3. (2008), pp. 771-784. by M. M. Islam, Xin Yao, Shahriar, M. A. Islam, K. Murase posted to bagging boosting ensemble neural_network by jjrodriguez on 2008-08-14 11:00:51 as
	A lazy bagging approach to classification [My Copy] Pattern Recognition, Vol. 41, No. 10. (October 2008), pp. 2980-2992. by Xingquan Zhu, Ying Yang posted to bagging ensemble by jjrodriguez on 2008-08-14 09:47:33 as
	Bootstrap - Inspired Techniques in Computation Intelligence [My Copy] Signal Processing Magazine, IEEE In Signal Processing Magazine, IEEE, Vol. 24, No. 4. (2007), pp. 59-72. by R. Polikar posted to adaboost bagging boosting data-fusion incremental-learning missing-feature mixture-of-experts by sona on 2008-07-18 13:51:20 as
	Bagging Predictors [My Copy] Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140. by Leo Breiman posted to predict bagging by askom on 2008-06-24 22:43:01 as along with 19 people and 3 groups brothers gyuli kevynct neteler kaarsinogen ChaTo lfriedl mukundn mthomure sdvillal KaraNagai lbatista Repton robincha girschick thangvu wlyu2001 eegilbert floares mlkd kdl LIVIA
	A Theoretical Analysis of Bagging as a Linear Combination of Classifiers [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 7. (2008), pp. 1293-1299. by Giorgio Fumera, Roli Fabio, Serrau Alessandra posted to bagging ensemble by jjrodriguez on 2008-06-10 09:00:30 as
	Learning by Bagging and Adaboost based on Support Vector Machine [My Copy] Industrial Informatics, 2007 5th IEEE International Conference on In Industrial Informatics, 2007 5th IEEE International Conference on, Vol. 2 (2007), pp. 663-668. by Yu Wang, Cheng De Lin posted to adaboost bagging svm by haiyeong on 2008-04-01 02:10:01 as
	Tree Induction for Probability-Based Ranking [My Copy] Machine Learning, Vol. 52, No. 3. (September 2003), pp. 199-215. by Foster Provost, Pedro Domingos posted to bagging ranking tree by jdu on 2008-03-01 02:33:27 as along with 1 person and 1 group bcroy MAML
	Combining Bagging, Boosting and Dagging for Classification Problems [My Copy] Knowledge-Based Intelligent Information and Engineering Systems (2007), pp. 493-500. by S. Kotsiantis, D. Kanellopoulos posted to bagging boosting dagging ensemble by haiyeong on 2008-02-25 22:21:35 as
	Combining Predictors: Comparison of Five Meta Machine Learning Methods [My Copy] Information Sciences, Vol. 119, No. 1-2. (1999), pp. 91-105. by Jakob V. Hansen posted to bagging boosting meta-learning mixtures-of-experts neural-networks nn by gagliol on 2007-12-14 16:51:40 as
	Investigations of bagged kernel partial least squares (KPLS) and boosting KPLS with applications to near-infrared (NIR) spectra [My Copy] Journal of Chemometrics, Vol. 20, No. 8-10. (2006), pp. 436-444. by Hideyuki Shinzawa, Jian-Hui Jiang, Pitiporn Ritthiruangdej, Yukihiro Ozaki posted to bagging boosting pls by nigelsim on 2007-10-03 04:31:45 as
	An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants [My Copy] Machine Learning, Vol. 36, No. 1-2. (1999), pp. 105-139. by Eric Bauer, Ron Kohavi posted to bagging boosting network neural by spt on 2007-06-30 11:55:12 as
	Parallelizing Boosting and Bagging [My Copy] (2001) by C. Yu, D. Skillicorn posted to bagging boosting parallelizing by scis0000001 on 2007-04-29 16:08:04 as
	An Empirical Evaluation of Bagging and Boosting [My Copy] In AAAI/{IAAI} (1997), pp. 546-551. by Richard Maclin, David Opitz posted to bagging boosting by rogerblake on 2007-03-18 18:21:55 as
	A Unified Bias-Variance Decomposition for Zero-One and Squared Loss [My Copy] In AAAI/{IAAI} (2000), pp. 564-569. by Pedro Domingos posted to bagging boosting learning overfitting by Vezhnick on 2007-01-24 08:06:10 as
	Bagging, Boosting, and C4.5 [My Copy] In AAAI/{IAAI}, Vol. 1 (1996), pp. 725-730. by Ross J. Quinlan posted to boosting bagging by Vezhnick on 2007-01-21 20:57:42 as
	Bias, Variance, and Arcing Classifiers [My Copy] (1996) by L. Breiman posted to bagging by mukundn on 2005-11-30 08:52:54 as

Note: You may cite this page as: http://www.citeulike.org/tag/bagging

boosting	22
ensemble	18
classification	4
regression	4
biostat	3
microarray	3
prediction	3
random_subspace_method	3
adaboost	2
ensemble_selection	2
neural_network	2
random_forest	2
active-learning	1
aggregating	1
bootstrap	1
bootstrapping	1
breiman	1
bs	1
cart	1
classifiers	1
costs	1
dagging	1
data-fusion	1
decision_tree	1
ensembles	1
experimental_methodology	1
incremental-learning	1
invref	1
knn	1
learning	1
ma	1
machine-learning	1
meta-learning	1
missing-feature	1
mixture-of-experts	1
mixtures-of-experts	1
nearest_neighbor	1
network	1
neural	1
neural-networks	1
nn	1
overfitting	1
parallelizing	1
pls	1
predict	1
predictor	1
qbc	1
random-subspace-method	1
random_subspace	1
randomized-algorithm	1
ranking	1
sensitivity-analysis	1
stability	1
statistics	1
survey	1
svm	1
tree	1
visualization	1

Tag bagging [39 articles] Export

Related Tags