jjrodriguez's library 402 articles Export

	Cover trees for nearest neighbor [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 97-104. by Alina Beygelzimer, Sham Kakade, John Langford posted to nearest_neighbor by jjrodriguez on 2009-11-22 12:51:46 as along with 3 people malibu idlebrain sdvillal
	A parameter-free hedging algorithm [My Copy] (16 Mar 2009) by Kamalika Chaudhuri, Yoav Freund, Daniel Hsu posted to online by jjrodriguez on 2009-11-22 10:14:19 as along with 1 person and 1 group mdreid Statistical Machine Learning
	A hybrid approach for efficient ensembles [My Copy] Decision Support Systems (17 June 2009) by Dan Zhu posted to stacking ensemble by jjrodriguez on 2009-11-21 10:08:11 as
	A weighted combination of stacking and dynamic integration [My Copy] Pattern Recognition, Vol. 40, No. 4. (April 2007), pp. 1385-1388. by N. Rooney, D. Patterson posted to stacking ensemble by jjrodriguez on 2009-11-20 17:42:43 as
	Forests of Nested Dichotomies [My Copy] Pattern Recognition Letters (19 September 2009) by Juan J. Rodríguez, César García-Osorio, Jesús Maudes posted to multiclass ensembles by jjrodriguez on 2009-11-19 15:34:34 as
	InstanceRank: Bringing order to datasets [My Copy] Pattern Recognition Letters (23 September 2009) by Carlos G. Vallejo, José A. Troyano, F. Javier Ortega posted to instance_selection by jjrodriguez on 2009-11-18 11:54:32 as
	Local within-class accuracies for weighting individual outputs in multiple classifier systems [My Copy] Pattern Recognition Letters (18 September 2009) by Shiliang Sun posted to random_subspace ensemble distance by jjrodriguez on 2009-11-18 11:51:30 as
	A System for Induction of Oblique Decision Trees [My Copy] Journal of Artificial Intelligence Research, Vol. 2 (1994), pp. 1-32. by Sreerama K. Murthy, Simon Kasif, Steven Salzberg posted to decision_tree by jjrodriguez on 2009-11-15 17:40:14 as along with 1 person cjones
	Forward feature selection using Residual Mutual Information [My Copy] In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning; ESANN 2009 (2009) by Erik Schaffernicht, Christoph Möller, Klaus Debes, Horst-Michael Gross posted to no-tag by jjrodriguez on 2009-11-07 10:59:51 as
	Subspace ensembles for classification [My Copy] Physica A: Statistical Mechanics and its Applications, Vol. 385, No. 1. (01 November 2007), pp. 199-207. by S. Sun, C. Zhang posted to ensemble by jjrodriguez on 2009-11-07 10:00:10 as
	Feature-Weighted Linear Stacking [My Copy] (4 Nov 2009) by Joseph Sill, Gabor Takacs, Lester Mackey, David Lin posted to stacking ensemble by jjrodriguez on 2009-11-04 10:36:27 as
	Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues [My Copy] Pattern Recognition and Image Analysis (2007), pp. 483-490. by Oleg Okun, Helen Priisalu posted to random_forest feature_weighting ensemble dataset_complexity bioinformatics by jjrodriguez on 2009-11-02 11:06:28 as
	Dataset complexity can help to generate accurate ensembles of k-nearest neighbors [My Copy] Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on (26 September 2008), pp. 450-457. by O. Okun, G. Valentini posted to nearest_neighbor ensemble dataset_complexity bioinformatics by jjrodriguez on 2009-11-02 11:03:26 as
	Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms [My Copy] Pattern Recognition Letters, Vol. 30, No. 16. (01 December 2009), pp. 1489-1495. by Sejong Yoon, Saejoon Kim posted to feature_selection by jjrodriguez on 2009-10-31 10:57:02 as
	An incremental dimensionality reduction method on discriminant information for pattern classification [My Copy] Pattern Recognition Letters, Vol. 30, No. 15. (01 November 2009), pp. 1416-1423. by Xiaoqin Hu, Zhixia Yang, Ling Jing posted to dimensionality_reduction by jjrodriguez on 2009-10-31 10:52:36 as
	Ambiguous decision trees for mining concept-drifting data streams [My Copy] Pattern Recognition Letters, Vol. 30, No. 15. (01 November 2009), pp. 1347-1355. by Jing Liu, Xue Li, Weicai Zhong posted to data_streams concept_drift by jjrodriguez on 2009-10-31 10:49:24 as
	Local rotation forest of decision stumps for regression problems [My Copy] Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on (11 September 2009), pp. 170-174. by S. B. Kotsiantis, P. E. Pintelas posted to regression invref ensemble by jjrodriguez on 2009-10-30 13:02:57 as
	A survey of distributed classification based ensemble data mining methods [My Copy] Journal of Applied Sciences, Vol. 9, No. 20. (2009), pp. 3739-3745. by D. Mokeddem, H. Belbachir posted to invref ensemble by jjrodriguez on 2009-10-30 12:51:33 as
	A fast ensemble pruning algorithm based on pattern mining process [My Copy] Data Mining and Knowledge Discovery, Vol. 19, No. 2. (1 October 2009), pp. 277-292. by Qiang-Li Zhao, Yan-Huang Jiang, Ming Xu posted to ensemble_selection association_rules by jjrodriguez on 2009-10-18 12:49:32 as along with 1 person votis
	Flexible decision tree for data stream classification in the presence of concept change, noise and missing values [My Copy] Data Mining and Knowledge Discovery, Vol. 19, No. 1. (1 August 2009), pp. 95-131. by Sattar Hashemi, Ying Yang posted to online fuzzy decision_tree concept_drift by jjrodriguez on 2009-10-18 12:42:28 as along with 1 group Incremental Learning
	iSAX: disk-aware mining and indexing of massive time series datasets [My Copy] Data Mining and Knowledge Discovery, Vol. 19, No. 1. (1 August 2009), pp. 24-57. by Jin Shieh, Eamonn Keogh posted to time_series by jjrodriguez on 2009-10-18 12:39:07 as
	A divide-and-conquer recursive approach for scaling up instance selection algorithms [My Copy] Data Mining and Knowledge Discovery, Vol. 18, No. 3. (1 June 2009), pp. 392-418. by Aida de Haro-García, Nicolás García-Pedrajas posted to instance_selection by jjrodriguez on 2009-10-18 12:35:49 as
	FURIA: an algorithm for unordered fuzzy rule induction [My Copy] Data Mining and Knowledge Discovery, Vol. 19, No. 3. (1 December 2009), pp. 293-319. by Jens Hühn, Eyke Hüllermeier posted to fuzzy decision_rules by jjrodriguez on 2009-10-18 12:29:28 as along with 1 person anib
	Learning to hash: forgiving hash functions and applications [My Copy] Data Mining and Knowledge Discovery, Vol. 17, No. 3. (1 December 2008), pp. 402-430. by Shumeet Baluja, Michele Covell posted to hash distance boosting by jjrodriguez on 2009-10-18 12:23:16 as along with 1 person dmeister
	Efficiently finding unusual shapes in large image databases [My Copy] Data Mining and Knowledge Discovery, Vol. 17, No. 3. (1 December 2008), pp. 343-376. by Li Wei, Eamonn Keogh, Xiaopeng Xi, Melissa Yoder posted to time_series image by jjrodriguez on 2009-10-18 12:17:09 as
	Positive Semidefinite Metric Learning with Boosting [My Copy] (13 Oct 2009) by Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel posted to distance boosting by jjrodriguez on 2009-10-14 12:41:30 as
	Improving System Identification Using Clustering [My Copy] Journal of Computing in Civil Engineering, Vol. 22, No. 5. (2008), pp. 292-302. by Sandro Saitta, Prakash Kripakaran, Benny Raphael, Ian F. C. Smith posted to clustering civil_engineering by jjrodriguez on 2009-10-05 17:17:21 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
	Bregman Divergences and Surrogates for Learning [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 11. (19 September 2008), pp. 2048-2059. by Richard Nock, Frank Nielsen posted to divergences decision_tree boosting by jjrodriguez on 2009-09-29 18:40:25 as
	Tailored Aggregation for Classification [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 11. (12 March 2009), pp. 2098-2105. by Tristan Mary-Huard, Stephane Robin posted to feature_selection dimensionality_reduction by jjrodriguez on 2009-09-29 18:27:16 as
	A Dynamic Discretization Approach for Constructing Decision Trees with a Continuous Label [My Copy] Knowledge and Data Engineering, IEEE Transactions on, Vol. 21, No. 11. (19 January 2009), pp. 1505-1514. by Hsiao-Wei Hu, Yen-Liang Chen, Kwei Tang posted to regression_tree regression discretization by jjrodriguez on 2009-09-29 18:12:35 as
	A Taxonomy of Similarity Mechanisms for Case-Based Reasoning [My Copy] Knowledge and Data Engineering, IEEE Transactions on, Vol. 21, No. 11. (17 November 2008), pp. 1532-1543. by Padraig Cunningham posted to nearest_neighbor distance by jjrodriguez on 2009-09-29 18:05:19 as along with 1 person diogomartins
	SemiBoost: Boosting for Semi-Supervised Learning [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 11. (26 September 2008), pp. 2000-2014. by P. K. Mallapragada, Rong Jin, A. K. Jain, Yi Liu posted to semisupervised boosting by jjrodriguez on 2009-09-29 17:54:25 as along with 1 person asmith29
	Feature shaping for linear SVM classifiers [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 299-308. by George Forman, Martin Scholz, Shyamsundar Rajaram posted to svm feature_weighting by jjrodriguez on 2009-09-27 12:28:18 as
	Issues in evaluation of stream learning algorithms [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 329-338. by Joao Gama, Raquel Sebastiao, Pedro P. Rodrigues posted to streams online experimental_methodology concept_drift by jjrodriguez on 2009-09-26 11:38:47 as
	COARSE-TO-FINE CLASSIFIER ENSEMBLE SELECTION USING CLUSTERING AND GENETIC ALGORITHMS [My Copy] INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, Vol. 23, No. 6. (2009) by Young W. Kim, Il S. Oh posted to invref ensemble clustering by jjrodriguez on 2009-09-25 11:01:09 as
	New ensemble methods for evolving data streams [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 139-148. by Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà posted to online ensemble concept_drift by jjrodriguez on 2009-09-23 11:25:47 as along with 2 people imrchen nliu82
	DensityRank: A novel feature ranking method based on kernel estimation [My Copy] Neural Networks, 2009. IJCNN 2009. International Joint Conference on (31 July 2009), pp. 446-453. by Yuan Cao, Haibo He, Xiaoping Shen posted to kernel_methods invref feature_weighting by jjrodriguez on 2009-09-22 15:17:03 as
	Spectrum of Variable-Random Trees [My Copy] Journal of Artificial Intelligence Research (2008), pp. 355-384. by F. T. Liu, K. M. Ting, Y. Yu, Z. H. Zhou posted to random_forest ensemble by jjrodriguez on 2009-09-22 11:32:21 as
	Data Mining, a Tool for Systems Biology or a Systems Biology Tool [My Copy] J Comput Sci Syst Biol, Vol. 2 (2009), pp. 216-218. by Nicolas Turenne posted to bioinformatics by jjrodriguez on 2009-09-14 11:00:03 as
	SMOTE: Synthetic Minority Over-sampling Technique [My Copy] Journal of Artificial Intelligence Research, Vol. 16 (2002), pp. 321-357. by Nitesh V. Chawla, Kevin W. Bowyer, Philip W. Kegelmeyer posted to imbalance by jjrodriguez on 2009-09-11 11:19:24 as along with 2 people sdvillal rlichten
	A Study of Random Linear Oracle Ensembles [My Copy] Multiple Classifier Systems In Multiple Classifier Systems (2009), pp. 488-497. by Amir Ahmad, Gavin Brown posted to invref ensemble by jjrodriguez on 2009-09-11 10:42:22 as
	Diversity-Based Classifier Selection for Adaptive Object Tracking [My Copy] Multiple Classifier Systems In Multiple Classifier Systems (2009), pp. 438-447. by Ingrid Visentini, Josef Kittler, Gian Foresti posted to invref image ensemble diversity by jjrodriguez on 2009-09-11 10:01:23 as
	Influence of Hyperparameters on Random Forest Accuracy [My Copy] Multiple Classifier Systems In Multiple Classifier Systems (2009), pp. 171-180. by Simon Bernard, Laurent Heutte, Sébastien Adam posted to random_forest invref by jjrodriguez on 2009-09-11 09:55:37 as
	A time series representation model for accurate and fast similarity detection [My Copy] Pattern Recognition, Vol. 42, No. 11. (10 November 2009), pp. 2998-3014. by Francesco Gullo, Giovanni Ponti, Andrea Tagarelli, Sergio Greco posted to time_series dimensionality_reduction clustering by jjrodriguez on 2009-09-08 12:52:18 as
	Random Projection Ensemble Classifiers [My Copy] Enterprise Information Systems In Enterprise Information Systems 11th International Conference Proceedings (2009), pp. 309-316. by Alon Schclar, Lior Rokach posted to invref ensemble by jjrodriguez on 2009-09-08 12:36:56 as
	Advances in Feature Selection with Mutual Information [My Copy] (3 Sep 2009) by Michel Verleysen, Fabrice Rossi, Damien François posted to feature_selection by jjrodriguez on 2009-09-04 09:33:41 as along with 1 person ansobol
	Proteomic mass spectra classification using decision tree based ensemble methods [My Copy] Bioinformatics, Vol. 21, No. 14. (15 July 2005), pp. 3138-3145. by Pierre Geurts, Marianne Fillet, Dominique de Seny, et al.Marie-Alice Meuwis, Michel Malaise, Marie-Paule Merville, Louis Wehenkel posted to ensemble decision_tree bioinformatics by jjrodriguez on 2009-09-03 12:26:10 as along with 1 person lp2
	A review of feature selection techniques in bioinformatics [My Copy] Bioinformatics, Vol. 23, No. 19. (1 October 2007), pp. 2507-2517. by Yvan Saeys, Inaki Inza, Pedro Larranaga posted to feature_selection bioinformatics by jjrodriguez on 2009-09-03 12:01:21 as along with 27 people and 1 group Shibby zufar stharward briordan phoenixzxl ipark-kaist prerna svozil bertelsen VGreiff rsantana druvus jfr giovenko guhjy chad_davis aviad_work frohike grahamc shigepong lp2 cabbagezs ryanraaum vietanh0 eacosta aaalxy srp33 Bioinformatics
	Consensus group stable feature selection [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 567-576. by Steven Loscalzo, Lei Yu, Chris Ding posted to feature_selection ensemble by jjrodriguez on 2009-09-02 16:02:41 as

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ensemble	104
invref	62
online	44
time_series	41
boosting	38
feature_selection	36
svm	36
multiclass	30
clustering	27
decision_tree	26
bioinformatics	21
random_forest	20
bagging	19
dimensionality_reduction	18
nearest_neighbor	16
distance	14
regression	13
concept_drift	11
evolutionary	10
experimental_methodology	10
fmri	10
naive_bayes	10
dtw	9
feature_weighting	9
image	9
random_subspace	8
decision_rules	7
ensemble_selection	7
neural_network	7
semisupervised	7
association_rules	5
bayesian_networks	5
imbalance	4
instance_selection	4
linear_classifier	4
normalization	4
one_class	4
discretization	3
fuzzy	3
ilp	3
ranking	3
rbf	3
stacking	3
streams	3
abstaining	2
costs	2
dataset_complexity	2
diagnosis	2
discriminant	2
ecoc	2
functional_dependencies	2
graph_mining	2
learning_classifier_systems	2
missing	2
roc	2
strings	2
visualization	2
anomaly_detection	1
anytime	1
association_for_classification	1
biometrics	1
categorical	1
civil_engineering	1
data_streams	1
divergences	1
diversity	1
dynamic_models	1
ensembles	1
frequent	1
hash	1
kernel_methods	1
manifold	1
metalearning	1
model_selection	1
multilabel	1
outliers	1
parallel_machine_learning	1
regression_tree	1
reinforcement	1
software_learning	1
software_metrics	1
som	1
stumps	1
wavelet	1

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