Tag time_series [at least 200 articles] Export

Recent papers classified by the tag time_series.

	Separation of musical instruments using correntropy [My Copy] Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th In Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th (2008), pp. 1-4. by M. E. Özbek, F. A. Savacı posted to time_series sd notation miuc kernel correntropy beat by beete on 2009-11-19 22:09:30 as along with 1 person meozbek
	LIBSVM: a Library for Support Vector Machines (Version 2.31) [My Copy] by Chih-Chung Chang, Chih-Jen Lin posted to time_series support_vector_regression kernels forecasting by tlow on 2009-11-17 12:47:45 as along with 11 people and 1 group filippone shrikondra gyuli kaarsinogen grzegorz chad_davis craigtalbert zoop bundschu doubleshow vlachmore generif_paper
	A Time-Series Biclustering Algorithm for Revealing Co-Regulated Genes [My Copy] Information Technology: Coding and Computing, International Conference on In ITCC '05: Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I, Vol. 1 (2005), pp. 32-37. by Ya Zhang, Hongyuan Zha, Chao H. Chu posted to time_series biclustering by meanerelk on 2009-11-13 03:40:33 as
	Time Series Analysis: Forecasting & Control (3rd Edition) [My Copy] (28 February 1994) by George Box, Gwilym M. Jenkins, Gregory Reinsel posted to time_series forecasting confidence_intervals arima_model by tlow on 2009-11-10 10:43:02 as along with 3 people and 3 groups orm kashivishwanath cybrpunk sysnet dopsy GI Seminar - Modeling Simulation
	GATE: Software for the Analysis and Visualization of High-Dimensional Time-series Expression Data [My Copy] Bioinformatics (5 November 2009), btp628. by Ben D. MacArthur, Alexander Lachmann, Ihor R. Lemischka, Avi Ma'ayan posted to time_series gene_expression bio_vis by ngehlenborg on 2009-11-06 09:14:33 as along with 1 person brianb
	Wind Speed Forecasting Based on Support Vector Machine with Forecasting Error Estimation [My Copy] Machine Learning and Cybernetics, 2007 International Conference on, Vol. 5 (29 October 2007), pp. 2735-2739. by Guo-Rui Ji, Pu Han, Yong-Jie Zhai posted to time_series support_vector_regression forecasting confidence_intervals chaotic_data by tlow on 2009-11-02 15:24:37 as along with 1 person powerlee
	Time Series Prediction Using Nonlinear Support Vector Regression Based on Classification [My Copy] Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on (08 January 2007), pp. 13-13. by Mao XueMin, Yang Jie posted to time_series support_vector_regression forecasting by tlow on 2009-11-02 15:22:14 as
	Disentangling collective trends from local dynamics [My Copy] (8 Sep 2009) by Marc Barthelemy, Jean-Pierre Nadal, Henri Berestycki posted to time_series sociodynamic independent_component global_trend fluctuations econophysics by jsaramak to the group Complex Networks Research Group on 2009-10-29 08:48:36 as along with 2 people marinari pak
	A Scaling Model for Estimating Time-Series Party Positions from Texts [My Copy] American Journal of Political Science, Vol. 52, No. 3. (July 2008), pp. 705-722. by Jonathan B. Slapin, Sven-Oliver Proksch posted to time_series texts statistical_analysis party_positions by mgaldino on 2009-10-20 05:40:18 as along with 3 people and 2 groups ChristianRauh vlasto fghjorth Statistics_and_Social_Science political_science_students
	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
	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
	A Shortcut Method for Generating Time Series of Input Data for Productivity Analysis [My Copy] Economic Systems Research, Vol. 19, No. 3. (2007), pp. 277-293. by Lourens Broersma, Ton Van Moergastel posted to time_series shortcut_method productivity_analysis methodology input_data extrapolation_method by arkas on 2009-10-16 16:23:12 as
	A Statistical Approach for Interval Forecasting of the Electricity Price [My Copy] Power Systems, IEEE Transactions on, Vol. 23, No. 2. (22 April 2008), pp. 267-276. by Jun H. Zhao, Zhao Y. Dong, Zhao Xu, Kit P. Wong posted to time_series support_vector_machine forecasting confidence_intervals chaotic_data by tlow on 2009-10-13 11:03:40 as
	Algorithms for time series knowledge mining [My Copy] In KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006), pp. 668-673. by Fabian Moerchen posted to time_series data_mining by wendyjap on 2009-10-13 04:48:38 as along with 3 people pinventado cmoewes scis0000001
	On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration [My Copy] Data Min. Knowl. Discov., Vol. 7, No. 4. (October 2003), pp. 349-371. by Eamonn Keogh, Shruti Kasetty posted to time_series data_mining by wendyjap on 2009-10-13 04:41:22 as along with 2 people ocs fheintz
	Confidence estimation methods for neural networks: a practical comparison [My Copy] Neural Networks, IEEE Transactions on, Vol. 12, No. 6. (06 August 2002), pp. 1278-1287. by G. Papadopoulos, P. J. Edwards, A. F. Murray posted to time_series neural_networks confidence_intervals by tlow on 2009-10-08 13:25:39 as
	A new probabilistic prediction approach based on local v-support vector regression [My Copy] Machine Learning and Cybernetics, 2008 International Conference on, Vol. 2 (05 September 2008), pp. 728-733. by Yong-Ming Zhang, Lie Chen, Wei-Gui Qi, Hai-Yan Tang posted to time_series support_vector_regression kernel_estimation forecasting confidence_intervals by tlow on 2009-10-08 09:49:59 as
	Rule Discovery From Time Series [My Copy] (1998), pp. 16-22. by Gautam Das, King-ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth posted to time_series rule_discovery by tlow on 2009-10-06 14:49:39 as
	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 time_series rule_discovery by tlow on 2009-10-06 14:08:45 as along with 1 person cmoewes
	Predictability of large geomagnetic disturbances based on solar wind conditions [My Copy] Plasma Science, IEEE Transactions on, Vol. 32, No. 4. (08 October 2004), pp. 1506-1510. by R. S. Weigel, D. N. Baker, E. J. Rigler, D. Vassiliadis posted to forecasting time_series space_weather by tlow on 2009-10-05 16:47:03 as
	Evolutionary Rule Mining in Time Series Databases [My Copy] Machine Learning, Vol. 58, No. 2. (1 February 2005), pp. 107-125. by Magnus L. Hetland, Pål Sætrom posted to time_series rule_discovery by tlow on 2009-10-05 16:21:19 as along with 2 people cmoewes beete
	Forecasting chaotic time series with genetic algorithms [My Copy] Physical Review E, Vol. 55, No. 3. (Mar 1997), pp. 2557-2568. by George G. Szpiro posted to forecasting time_series evolutionary_algorithms chaotic_data by tlow on 2009-10-05 16:12:03 as
	Granger causality vs. dynamic Bayesian network inference: a comparative study [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 122. by Cunlu Zou, Jianfeng Feng posted to time_series time_course time network granger causality bayesian by rdiaz on 2009-09-29 16:56:57 as along with 4 people roys Borelli TRHvidsten zwang
	Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data [My Copy] Bioinformatics, Vol. 25, No. 10. (15 May 2009), pp. 1300-1306. by Paul D. W. Kirk, Michael P. H. Stumpf posted to time_series time_course bootstrap by rdiaz on 2009-09-28 17:12:07 as along with 1 person humburg
	KELLER: estimating time-varying interactions between genes [My Copy] Bioinformatics, Vol. 25, No. 12. (15 June 2009), pp. i128-136. by Le Song, Mladen Kolar, Eric P. Xing posted to time_series network interaction by rdiaz on 2009-09-23 16:43:05 as along with 7 people and 1 group arne yaredo leemond31 roys tmmurali dswan mstumpf Bioinformatics
	Clustered alignments of gene-expression time series data [My Copy] Bioinformatics, Vol. 25, No. 12. (15 June 2009), pp. i119-1127. by Adam A. Smith, Aaron Vollrath, Christopher A. Bradfield, Mark Craven posted to time_series clustering by rdiaz on 2009-09-23 16:42:26 as along with 1 person and 1 group dswan Bioinformatics
	Grouped graphical Granger modeling for gene expression regulatory networks discovery [My Copy] Bioinformatics, Vol. 25, No. 12. (15 June 2009), pp. i110-118. by Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset posted to time_series granger causality by rdiaz on 2009-09-23 16:41:58 as along with 1 person ruichu
	Constrained mixture estimation for analysis and robust classification of clinical time series [My Copy] Bioinformatics, Vol. 25, No. 12. (15 June 2009), pp. i6-14. by Ivan G. Costa, Alexander Schonhuth, Christoph Hafemeister, Alexander Schliep posted to time_series mixture hmm classification by rdiaz on 2009-09-23 16:41:13 as along with 2 people jfr sotacam
	Superfamily phenomena and motifs of networks induced from time series [My Copy] Proceedings of the National Academy of Sciences, Vol. 105, No. 50. (16 December 2008), pp. 19601-19605. by Xiaoke Xu, Jie Zhang, Michael Small posted to time_series network graph by Borelli on 2009-09-15 22:44:22 as along with 2 people phoenixzxl ocs
	Online clustering of parallel data streams [My Copy] Data Knowl. Eng., Vol. 58, No. 2. (August 2006), pp. 180-204. by Jürgen Beringer, Eyke Hüllermeier posted to time_series online-clustering data_streams clustering by sona on 2009-09-15 11:54:27 as along with 2 people arsyed Nightscape
	Recovering time-varying networks of dependencies in social and biological studies [My Copy] Proceedings of the National Academy of Sciences, Vol. 106, No. 29. (21 July 2009), pp. 11878-11883. by Amr Ahmed, Eric P. Xing posted to time_series time series reconstruction network by rdiaz on 2009-09-09 12:31:16 as along with 6 people Borelli maximzhao pinney zwang friendpine tmmurali
	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
	A reliable measure of similarity based on dependency for short time series: an application to gene expression networks. [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 270. by Monica Campiteli, Frederico Soriani, Iran Malavazi, Osame Kinouchi, Carlos Pereira, Gustavo Goldman posted to time_series systems_biology regulatory_network networks microarray_experiments computational_biology by coffeerv on 2009-09-04 07:14:04 as along with 4 people and 1 group rdiaz TRHvidsten danmaclean sotacam Gene Regulation
	One-Party Dominance in Legislatures [My Copy] Legislative Studies Quarterly, Vol. 6, No. 2. (1981), pp. 259-285. by John Sprague posted to time_series by ekey176 on 2009-09-02 16:49:51 as
	The long memory of the efficient market [My Copy] (26 Jul 2004) by Fabrizio Lillo, J. Doyne Farmer posted to time_series memory long lillo hurst finance farmer correlation analysis by gi0rgi0ne on 2009-08-26 14:22:52 as along with 4 people and 1 group nettraq jheuer syoyo Scis0000002 Philosophy_of_Information
	Determining embedding dimension for phase-space reconstruction using a geometrical construction [My Copy] Physical Review A, Vol. 45, No. 6. (Mar 1992), pp. 3403-3411. by Matthew B. Kennel, Reggie Brown, Henry D. I. Abarbanel posted to time_series embedding_dimension atractor_reconstruction by oangelo on 2009-08-24 22:53:31 as along with 1 person akavipat
	Quantitative features of multifractal subtleties in time series [My Copy] (16 Jul 2009) by Stanislaw Drozdz, Jaroslaw Kwapien, Pawel Oswiecimka, Rafal Rak posted to multifractality time_series by acrmartins on 2009-08-03 04:10:35 as
	Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't [My Copy] PLoS Comput Biol, Vol. 5, No. 5. (8 May 2009), e1000380. by Yasser Roudi, Sheila Nirenberg, Peter E. Latham posted to correlation entropy information methods statistics time_series by josepe on 2009-06-29 02:33:26 as along with 8 people rdiaz marinari fbaroni bayesian robsyme flips paulschlesinger pengchy
	Exact Indexing for Massive Time Series Databases under Time Warping Distance [My Copy] (13 Jun 2009) by Vit Niennattrakul, Pongsakorn Ruengronghirunya, Chotirat A. Ratanamahatana posted to dtw time_series by jjrodriguez on 2009-06-16 17:45:49 as
	Comparison of detrending methods for fluctuation analysis [My Copy] Physica A: Statistical Mechanics and its Applications, Vol. 387, No. 21. (01 September 2008), pp. 5080-5090. by A. Bashan, R. Bartsch, J. Kantelhardt, S. Havlin posted to dfa time_series by Gralha on 2009-05-25 16:48:03 as
	Faster retrieval with a two-pass dynamic-time-warping lower bound [My Copy] Pattern Recognition, Vol. 42, No. 9. (September 2009), pp. 2169-2180. by Daniel Lemire posted to dtw invref time_series by jjrodriguez on 2009-05-25 09:28:28 as
	Changes in Continental Freshwater Discharge from 1948 to 2004 [My Copy] Journal of Climate, Vol. 22, No. 10. (15 May 2009), pp. 2773-2792. by Aiguo Dai, Taotao Qian, Kevin E. Trenberth, John D. Milliman posted to anthropogenic climate climate_change clm3 discharge enso evapotranspiration gcm global interannual irrigation precipitation reservoirs rivers time_series trends by emayorga on 2009-04-22 20:03:56 as
	Mining correlated bursty topic patterns from coordinated text streams [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 784-793. by Xuanhui Wang, Chengxiang Zhai, Xiao Hu, Richard Sproat posted to bursty time_series topic_model by EvanXW on 2009-04-20 08:21:02 as along with 1 person nliu82
	On the bursty evolution of blogspace [My Copy] In WWW '03: Proceedings of the twelfth international conference on World Wide Web (2003), pp. 568-576. by Ravi Kumar, Jasmine Novak, Prabhakar Raghavan, Andrew Tomkins posted to bursty community dynamic sna time_series by EvanXW on 2009-04-18 08:18:16 as along with 28 people and 11 groups meikipp tnhh mercutio ssn A_Olympia rickl pdlug mapio breyten moreno ChaTo sachac stagediver augusto yish sids balicea donade griota manu_ds stefans boila mikethelwall peefeeyatko olenka_br thesis2007 randomname Asur Philosophy_of_Information Blog_and_Wiki_Research utoronto-iml mathgamespatterns dtl vds-arg eni AIRgroup ilps memoir oktave-labs
	Bursty and hierarchical structure in streams [My Copy] In KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining (2002), pp. 91-101. by Jon Kleinberg posted to bursty hmm time_series by EvanXW on 2009-04-18 08:05:58 as along with 8 people and 4 groups menjo ssn ChaTo manuelpq griota furykerry markymaypo donade Personal-Information-Management DialogueResearchGroup ARTFL Community_SSTZ
	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
	$My PDF rodrigues_09_multifractality.pdf$ Multifractality in the random parameter model for multivariate time series [My Copy] Physica A: Statistical Mechanics and its Applications, Vol. 388, No. 11. (01 June 2009), pp. 2198-2206. by Rodrigues, Andre C. Martins posted to finance multifractality non_stationarity time_series volatility_clustering by acrmartins on 2009-04-05 09:10:30 as
	Non-stationary correlation matrices and noise [My Copy] Physica A: Statistical Mechanics and its Applications, Vol. 379, No. 2. (15 June 2007), pp. 552-558. by A. Martins posted to correlation_matrix eigenvalues finance non_stationarity time_series by acrmartins on 2009-04-05 09:09:11 as
	Random, but not so much a parameterization for the returns and correlation matrix of financial time series [My Copy] Physica A: Statistical Mechanics and its Applications, Vol. 383, No. 2. (15 September 2007), pp. 527-532. by A. Martins posted to correlation_matrix eigenvalues finance non_stationarity random_matrices time_series volatility_clustering by acrmartins on 2009-04-05 09:07:41 as
	Nonlinear Dynamics in Physiology: A State-space Approach [My Copy] (06 December 2006) by Mark Shelhamer posted to modeling non_linear physiology state_space time_series by I_Biomed on 2009-03-30 16:41:44 as

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clustering	41
anthropogenic	17
microarray	17
rivers	16
multivariate	15
rule_discovery	15
compression	13
pattern_mining	13
learning	12
dtw	10
forecasting	10
nitrogen	10
agricultural	9
motif_mining	9
temperate	9
bootstrap	8
discharge	8
invref	8
overview	8
discretization	7
nitrate	7
online	7
svm	7
visualization	7
bursty	6
china	6
classification	6
finance	6
resampling_inference	6
trends	6
changjiang	5
confidence_intervals	5
data_mining	5
hmm	5
hydrology	5
indexing	5
mississippi	5
nutrients	5
sediments	5
yangtze	5
carbon	4
europe	4
feature_selection	4
fuzzy	4
landusechange	4
network	4
seasonality	4
support_vector_regression	4
usa	4
asia	3
baseflow	3
chaotic_data	3
climate_change	3
eutrophication	3
evolutionary	3
microrna	3
model_selection	3
non_stationarity	3
precipitation	3
random_projection	3
reservoirs	3
segmentation	3
temporal	3
activation_based_mapping	2
analysis	2
ar_processes	2
causality	2
community	2
correlation	2
dynamic	2
eigenvalues	2
ensemble	2
event_detection	2
expression	2
fetal_death	2
hierarchical	2
iowa	2
lakes	2
librain	2
life_expectancy	2
mdl	2
modeling	2
monitoring	2
mvpa	2
networks	2
noise	2
non_linear	2
nutrient_ratios	2
phosphorus	2
poc	2
river	2
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statistical_arbitrage	2
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time	2
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tss	2
volatility_clustering	2
watershed	2

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