cmoewes's library 194 articles Export

	New fuzzy inference system using a support vector machine [My Copy] Decision and Control, 2002, Proceedings of the 41st IEEE Conference on In Decision and Control, 2002, Proceedings of the 41st IEEE Conference on, Vol. 2 (10 March 2003), pp. 1349-1354 vol.2. by Jongcheol Kim, Sangchul Won posted to no-tag by cmoewes on 2009-05-07 09:18:06 as along with 1 person corgan
	On Representing and Generating Kernels by Fuzzy Equivalence Relations [My Copy] Journal of Machine Learning Research, Vol. 7 (2006), pp. 2603-2620. by Bernhard Moser posted to equivalence_relation fuzzy kernel theory by cmoewes on 2009-05-07 08:27:23 as
	$My PDF \l\keski_06_support.pdf$ On support vector regression machines with linguistic interpretation of the kernel matrix [My Copy] Fuzzy Sets and Systems, Vol. 157, No. 8. (16 April 2006), pp. 1092-1113. by Jacek \l\keski posted to fuzzy kernel svm by cmoewes on 2009-05-07 07:52:33 as
	Visualization for modeling and simulation: visualization methods for time-dependent data - an overview [My Copy] In WSC '03: Proceedings of the 35th conference on Winter simulation (2003), pp. 737-745. by Wolfgang Müller, Heidrun Schumann posted to multivariate overview time_series visualization by cmoewes on 2009-04-07 12:33:18 as
	Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM [My Copy] Soft Methods for Handling Variability and Imprecision In Soft Methods for Handling Variability and Imprecision, Vol. 48 (2008), pp. 409-416. by Christian Moewes, Clemens Otte, Rudolf Kruse edited by Didier Dubois, Asunción M. Lubiano, Henri Prade, Mar\ía Gil, Przemys\law Grzegorzewski, Olgierd Hryniewicz posted to application learning multiple-instance safety-related svm by cmoewes on 2009-04-01 18:50:54 as
	Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization [My Copy] Fuzzy Sets and Systems, Vol. 160, No. 7. (01 April 2009), pp. 857-881. by Alexandre G. Evsukoff, Sylvie Galichet, Beatriz S. de Lima, Nelson F. Ebecken posted to fuzzy genetic learning pattern_matching by cmoewes on 2009-03-26 16:52:35 as along with 2 people cxshang cmencar
	Eclectic Rule-Extraction from Support Vector Machines [My Copy] International Journal of Computational Intelligence, Vol. 2, No. 1. (2006), pp. 59-62. by Nahla Barakat, Joachim Diederich posted to learning rule svm by cmoewes on 2009-03-26 16:49:59 as
	From Minimum Enclosing Ball to Fast Fuzzy Inference System Training on Large Datasets [My Copy] Fuzzy Systems, IEEE Transactions on In Fuzzy Systems, IEEE Transactions on, Vol. 17, No. 1. (2009), pp. 173-184. by Fu-Lai Chung, Zhaohong Deng, Shitong Wang posted to fuzzy learning rule svm by cmoewes on 2009-03-26 16:43:09 as
	Fuzzy Pairwise Multiclass Support Vector Machines [My Copy] MICAI 2006: Advances in Artificial Intelligence In MICAI 2006: Advances in Artificial Intelligence, Vol. 4293 (2006), pp. 562-571. by José M. Puche, José M. Benítez, Juan L. Castro, Carlos J. Mantas edited by Alexander Gelbukh, Carlos A. Reyes-Garcia posted to classification fuzzy multiclass svm by cmoewes on 2009-03-26 16:41:20 as
	Rule-Based Learning Systems for Support Vector Machines [My Copy] Neural Processing Letters, Vol. 24, No. 1. (1 August 2006), pp. 1-18. by Haydemar Núñez, Cecilio Angulo, Andreu Català posted to learning rule svm by cmoewes on 2009-03-26 16:39:40 as
	Rule extraction from support vector machines [My Copy] In ESANN'2002 proceedings - European Symposium on Artificial Neural Networks (24-26 April 2002), pp. 107-112. by Haydemar Núñez, Cecilio Angulo, Andreu Català posted to learning rule svm by cmoewes on 2009-03-26 16:38:43 as
	The theoretical foundations of statistical learning theory based on fuzzy number samples [My Copy] Inf. Sci., Vol. 178, No. 16. (2008), pp. 3240-3246. by Ming H. Ha, Jing Tian posted to fuzzy statistical_learning svm by cmoewes on 2009-03-26 16:30:25 as
	Preliminary Study on Wilcoxon Learning Machines [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 19, No. 2. (2008), pp. 201-211. by J. G. Hsieh, Y. L. Lin, J. H. Jeng posted to learning svm wilcoxon by cmoewes on 2009-03-02 10:28:44 as along with 1 person jjrodriguez
	Support vector learning mechanism for fuzzy rule-based modeling: a new approach [My Copy] Fuzzy Systems, IEEE Transactions on In Fuzzy Systems, IEEE Transactions on, Vol. 12, No. 1. (2004), pp. 1-12. by Jung-Hsien Chiang, Pei-Yi Hao posted to fuzzy learning rule rule_discovery svm by cmoewes on 2009-03-02 10:27:33 as
	Fuzzy Rule Extraction from Support Vector Machines [My Copy] In HIS '05: Proceedings of the Fifth International Conference on Hybrid Intelligent Systems (2005), pp. 335-340. by Adriana Chaves, Marley M. Vellasco, Ricardo Tanscheit posted to fuzzy learning rule rule_discovery svm by cmoewes on 2009-03-02 10:24:27 as
	Extraction of fuzzy rules from support vector machines [My Copy] Fuzzy Sets and Systems, Vol. 158, No. 18. (16 September 2007), pp. 2057-2077. by Juan L. Castro, L. D. Flores-Hidalgo, Carlos J. Mantas, J. M. Puche posted to fuzzy learning rule rule_discovery svm by cmoewes on 2009-03-02 10:23:00 as along with 1 person cxshang
	Multivariate data analysis of pharmaceutical spectrometric and process data [My Copy] (22 January 2007) by Christian Moewes posted to application multivariate pca pls time_series by cmoewes on 2009-02-17 18:11:48 as
	Zuordnen von linguistischen Ausdrücken zu Motiven in Zeitreihen [My Copy] at - Automatisierungstechnik, Vol. 57, No. 3. (March 2009), pp. 146-154. by Christian Moewes, Rudolf Kruse edited by Andreas Kroll, Ralf Mikut posted to motif_mining multivariate time_series by cmoewes on 2009-02-17 18:00:38 as
	Adjusting Monitored Experiments to Real-World Cases by Matching Labeled Time Series Motifs [My Copy] In Proceedings 18. Workshop Computational Intelligence (3-5 December 2008), pp. 214-223. by Christian Moewes, Rudolf Kruse edited by Ralf Mikut, Markus Reischl posted to motif_mining multivariate pattern_mining time_series by cmoewes on 2009-02-17 17:53:35 as
	Browsing Music by Usage Context [My Copy] In Proceedings of the 2nd Workshop on Learning the Semantics of Audio Signals (LSAS 2008) (21 June 2008), pp. 19-29. by Valentin Laube, Christian Moewes, Sebastian Stober edited by Juan J. Burred, Andreas Nürnberger, Geoffroy Peeters, Sebastian Stober posted to no-tag by cmoewes on 2009-02-17 17:49:31 as
	Fuzzy neural network [My Copy] Scholarpedia, Vol. 3, No. 11. (November 2008), 6043. by Rudolf Kruse, Christian Moewes posted to neuro-fuzzy overview by cmoewes on 2009-02-17 17:40:23 as
	Simple Machine Learning Approaches to Safety-Related Systems [My Copy] In Machine Interpretation of Patterns: Image Analysis, Data Mining and Bioinformatics (2009) by Christian Moewes, Rudolf Kruse edited by Rajat K. De, Deba P. Mandal, Ashish Ghosh posted to application learning multiple-instance safety-related svm by cmoewes on 2009-02-17 17:33:38 as
	Unification of Fuzzy SVMs and Rule Extraction Methods through imprecise Domain Knowledge [My Copy] In Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-08) (22-27 June 2008), pp. 1527-1534. by Christian Moewes, Rudolf Kruse edited by José L. Verdegay, Luis Magdalena, Manuel Ojeda-Aciego posted to classification fuzzy learning rule_discovery svm ismis_09 by cmoewes on 2009-02-17 17:28:37 as
	Application of Support Vector Machines to Discriminate Vehicle Crash Events [My Copy] (24 October 2007) by Christian Moewes posted to application classification safety-related svm time_series by cmoewes on 2009-02-17 17:24:11 as
	Dot Plots for Time Series Analysis [My Copy] In ICTAI '05: Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (2005), pp. 159-168. by Dragomir Yankov, Eamonn Keogh, Stefano Lonardi, Ada W. Fu posted to dot_plots time_series visualization by cmoewes on 2009-02-17 17:10:19 as
	Visual Exploration of Genomic Data [My Copy] Knowledge Discovery in Databases: PKDD 2007 In Knowledge Discovery in Databases: PKDD 2007, Vol. 4702 (2007), pp. 613-620. by Michail Vlachos, Bahar Taneri, Eamonn Keogh, Philip Yu edited by Joost N. Kok, Jacek Koronacki, Lopez, Stan Matwin, Dunja Mladenic, Andrzej Skowron posted to time_series visualization by cmoewes on 2009-02-17 17:08:41 as
	Tree visualization with tree-maps: 2-d space-filling approach [My Copy] ACM Trans. Graph., Vol. 11, No. 1. (January 1992), pp. 92-99. by Ben Shneiderman posted to time_series visualization by cmoewes on 2009-02-17 17:07:41 as along with 3 people ajay81 blindAngle seanf
	Time-series Bitmaps: A Practical Visualization Tool for working with Large Time Series Databases [My Copy] In Proceedings of the 5th SIAM International Conference on Data Mining (SDM'05) (2005), pp. 531-535. by Nitin Kumar, Nishanth Lolla, Eamonn J. Keogh, Stefano Lonardi, Chotirat A. Ratanamahatana edited by H. Kargupta, J. Srivastava, C. Kamath, A. Goodman posted to chaos_game time_series visualization by cmoewes on 2009-02-17 17:03:47 as
	Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems [My Copy] In ICDM '06: Proceedings of the Sixth International Conference on Data Mining (2006), pp. 912-916. by Eamonn Keogh, Li Wei, Xiaopeng Xi, Stefano Lonardi, Jin Shieh, Scott Sirowy posted to time_series visualization by cmoewes on 2009-02-17 16:52:36 as along with 2 people ianturton franzkurfess
	Importance-driven visualization layouts for large time series data [My Copy] Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on In Information Visualization, 2005. INFOVIS 2005. IEEE Symposium on (2005), pp. 203-210. by M. C. Hao, Umeshwar Dayal, D. A. Keim, T. Schreck posted to time_series visualization by cmoewes on 2009-02-17 16:51:14 as along with 1 person jglanfield
	Kaleidomaps: a new technique for the visualization of multivariate time-series data [My Copy] Information Visualization, Vol. 6, No. 2. (31 May 2007), pp. 155-167. by Kim Bale, Paul Chapman, Nick Barraclough, Jon Purdy, Nizamettin Aydin, Paul Dark posted to multivariate time_series visualization by cmoewes on 2009-02-17 16:46:48 as
	An extended, specificity based approach to linguistic summarization of time series [My Copy] In 12th International Conference on Information Processing and Management of Uncertainty for Knowledge-Based Systems (IPMU 2008) (22-27 June 2008), pp. 551-559. by Janusz Kacprzyk, Anna Wilbik edited by José L. Verdegay, Luis Magdalena, Manuel Ojeda-Aciego posted to summarization time_series by cmoewes on 2009-02-17 16:44:39 as
	Segmenting Time Series: A Survey and Novel Approach [My Copy] In Data Mining In Time Series Databases, Vol. 57 (2004), pp. 1-22. by Eamonn J. Keogh, Selina Chu, David Hart, Michael Pazzani edited by Mark Last, Abraham Kandel, Horst Bunke posted to overview segmentation time_series by cmoewes on 2009-02-17 16:29:37 as
	An online algorithm for segmenting time series [My Copy] Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on In Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on (2001), pp. 289-296. by E. Keogh, S. Chu, D. Hart, M. Pazzani posted to overview segmentation time_series by cmoewes on 2009-02-17 16:13:05 as
	Modified Gath-Geva Clustering for Fuzzy Segmentation of Multivariate Time-series [My Copy] Fuzzy Sets and Systems, Data Mining Special Issue, Vol. 149, No. 1. (2004), pp. 39-56. by Janos Abonyi, Balazs Feil, Sandor Németh, Peter Arva posted to clustering fuzzy segmentation time_series by cmoewes on 2009-02-17 13:07:16 as
	Unsupervised Temporal Rule Mining with Genetic Programming and Specialized Hardware [My Copy] In Proceedings of the 2003 International Conference on Machine Learning and Applications (ICMLA'03) (23-24 June 2003), pp. 145-151. by Pål Sætrom, Magnus L. Hetland edited by M. A. Wani, K. J. Cios, K. Hafeez posted to evolutionary genetic_programming pattern_matching pattern_mining rule_discovery time_series by cmoewes on 2009-02-17 09:13:14 as
	Multiobjective Evolution of Temporal Rules [My Copy] In Proceedings of the 8th Scandinavian Conference on Artificial Intelligence (SCAI 2003) (2003) by Pål Sætrom, Magnus L. Hetland posted to evolutionary knowledge_discovery rule_discovery time_series by cmoewes on 2009-02-17 09:06:09 as along with 1 person tlow
	Data mining with Temporal Abstractions: learning rules from time series [My Copy] Data Mining and Knowledge Discovery, Vol. 15, No. 2. (1 October 2007), pp. 217-247. by Lucia Sacchi, Cristiana Larizza, Carlo Combi, Riccardo Bellazzi posted to knowledge_discovery learning rule_discovery time_series by cmoewes on 2009-02-17 08:57:48 as along with 1 person tlow
	Learning First Order Logic Time Series Classifiers: Rules and Boosting [My Copy] In PKDD '00: Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery (2000), pp. 299-308. by Juan J. Rodríguez, Carlos A. González, Henrik Boström posted to classification inductive_logic learning multivariate time_series by cmoewes on 2009-02-17 08:49:33 as
	Learning Comprehensible Descriptions of Multivariate Time Series [My Copy] In ICML '99: Proceedings of the Sixteenth International Conference on Machine Learning (1999), pp. 454-463. by Mohammed W. Kadous posted to classification clustering rule_discovery time_series by cmoewes on 2009-02-17 08:46:14 as
	Evolutionary Rule Mining in Time Series Databases [My Copy] Machine Learning, Vol. 58, No. 2. (1 February 2005), pp. 107-125. by Magnus Hetland, Pål Sætrom edited by Eamonn J. Keogh posted to evolutionary genetic_programming knowledge_discovery rule_discovery sequence_mining time_series by cmoewes on 2009-02-17 08:39:34 as along with 2 people tlow beete
	The Role of Discretization Parameters in Sequence Rule Evolution [My Copy] Knowledge-Based Intelligent Information and Engineering Systems In Knowledge-Based Intelligent Information and Engineering Systems, Vol. 2773 (2003), pp. 518-525. by Magnus Hetland, Pål Sætrom edited by Vasile Palade, Robert J. Howlett, Lakhmi Jain posted to discretization evolutionary rule_discovery time_series by cmoewes on 2009-02-17 08:37:34 as
	A Comparison of Hardware and Software in Sequence Rule Evolution [My Copy] In Proceedings of the Eighth Scandinavian Conference on Artificial Intelligence (SCAI 2003) (2003) by Magnus L. Hetland, Pål Sætrom posted to evolutionary genetic_programming rule_discovery sequence_mining time_series by cmoewes on 2009-02-17 08:32:03 as
	Temporal Rule Discovery using Genetic Programming and Specialized Hardware [My Copy] In Proceedings of the 4th International Conference on Recent Advances in Soft Computing (RASC 2002) (12-13 December 2002), pp. 182-188. by Magnus L. Hetland, Pål Sætrom edited by Ahmad Lotfi, Jon Garibaldi, Robert John posted to genetic_programming pattern_matching rule_discovery sequence_mining time_series by cmoewes on 2009-02-17 08:22:14 as along with 1 person tlow
	Rule Discovery from Time Series [My Copy] In KDD (1998), pp. 16-22. by Gautam Das, King I. Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth posted to discretization learning time_series rule_discovery by cmoewes on 2009-02-17 08:05:06 as
	Mining fuzzy rules for time series classification [My Copy] Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on In Proceedings of 2004 IEEE International Conference on Fuzzy Systems, Vol. 1 (25-29 July 2004), pp. 239-244. by Wai-Ho Au, K. C. C. Chan posted to fuzzy learning time_series rule_discovery by cmoewes on 2009-02-17 08:02:21 as
	Exact Discovery of Time Series Motifs [My Copy] In SIAM International Conference on Data Mining (SDM09) (April 30 - May 2 2009) by Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, Brandon Westover posted to motif_mining pattern_mining time_series by cmoewes on 2009-02-10 07:10:55 as along with 1 person pimmy
	Detecting time series motifs under uniform scaling [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 844-853. by Dragomir Yankov, Eamonn Keogh, Jose Medina, Bill Chiu, Victor Zordan posted to motif_mining random_projection time_series by cmoewes on 2009-01-29 09:32:58 as along with 2 people pimmy seninp
	Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle [My Copy] Machine Learning, Vol. 58, No. 2. (1 February 2005), pp. 269-300. by Yoshiki Tanaka, Kazuhisa Iwamoto, Kuniaki Uehara posted to mdl motif_mining multivariate pca time_series by cmoewes on 2009-01-29 09:31:48 as along with 3 people pimmy jaberg balicea
	Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle [My Copy] Machine Learning and Data Mining in Pattern Recognition In Machine Learning and Data Mining in Pattern Recognition, Vol. 2734 (2003), pp. 297-322. by Yoshiki Tanaka, Kuniaki Uehara edited by Petra Perner, Azriel Rosenfeld posted to mdl motif_mining multivariate pca time_series by cmoewes on 2009-01-29 09:29:53 as

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time_series	104
rule_discovery	53
learning	51
fuzzy	47
clustering	45
svm	42
multivariate	24
compression	22
pattern_mining	22
classification	17
ismis_09	16
motif_mining	16
overview	14
evolutionary	10
kernel	10
visualization	10
fsvm	9
random_projection	9
application	8
discretization	8
indexing	7
rule	7
high-dimensional	6
ls-svm	6
theory	6
neuro-fuzzy	5
safety-related	5
dtw	4
feature_selection	4
genetic_programming	4
hierarchical	4
knowledge_discovery	4
segmentation	4
takagi-sugeno	4
pattern_matching	3
pca	3
rbf	3
sequence_mining	3
change_detection	2
evaluation	2
genetic	2
implementation	2
mdl	2
multiple-instance	2
noise	2
arima	1
bayes	1
chaos_game	1
csvm	1
dot_plots	1
equivalence_relation	1
gsvm	1
hmm	1
ica	1
inductive_logic	1
multiclass	1
pls	1
semi-supervised	1
separate-and-conquer	1
som	1
statistical_learning	1
summarization	1
transduction	1
tsvm	1
universum	1
u-svm	1
wilcoxon	1

cmoewes's library 194 articles Export

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