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タグ: time_series [83 articles]

Recent papers classified by the tag time_series.
  • Time-Series Analysis
    (15 April 2003)
    by Elizabeth Bradley
    edited by Michael R Berthold, David J Hand
  • Dynamic model-based clustering for time-course gene expression data.
    J Bioinform Comput Biol, Vol. 3, No. 4. (August 2005), pp. 821-836.
    by FX Wu, WJ Zhang, AJ Kusalik
    posted to microarray time_series by tuck on 2006-07-21 19:21:51 as ** along with 1 person dps
  • Dynamic scaling approach to study time series fluctuations
    Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 76, No. 5. (2007)
    by Alexander S Balankin
    posted to scaling time_series by sbianco on 2007-12-03 15:26:29 as **
  • Hidden Markov and Other Models for Discrete- Valued Time Series
    (01 January 1997)
    by Iain L Macdonald, W Zucchini, IL Macdonald
    posted to time_series hmm by rabio on 2007-01-30 14:50:46 as * along with 1 person brian
  • On noise reduction methods for chaotic data.
    Chaos, Vol. 3, No. 2. (April 1993), pp. 127-141.
    by Peter Grassberger, Rainer Hegger, Holger Kantz, Carsten Schaffrath, Thomas Schreiber
    posted to stats time_series by mrm on 2005-01-21 15:53:33 as read
  • Gene network dynamics controlling keratinocyte migration
    Mol Syst Biol, Vol. 4 (1 July 2008)
    by Hauke Busch, David Camacho-Trullio, Zbigniew Rogon, Kai Breuhahn, Peter Angel, Roland Eils, Axel Szabowski
  • notes Secondary sex ratios and male lifespan: Damaged or culled cohorts.
    Proc Natl Acad Sci U S A, Vol. 103, No. 5. (31 January 2006), pp. 1639-1643.
  • A Method to Separate Stochastic and Deterministic Information from Electrocardiograms
    Physica Scripta, Vol. T118 (2005), pp. 132-135.
    posted to chaos ecg personal time_series by luisand on 2008-04-09 17:22:44 as read
  • A better alternative to piecewise Linear Time Series Segmentation
    (27 May 2007)
    by Daniel Lemire
    posted to time_series segmentation by julianpan on 2008-06-01 18:03:45 as ** along with 2 people wnoise vanhau
  • Neural Networks for Event Detection from Time Series: A BP Algorithm Approach
    Computational Science – ICCS 2003 (2003), pp. 679-679.
    by Dayong Gao, Y Kinouchi, K Ito
    posted to event_detection time_series by julianpan on 2008-01-15 07:46:13 as **
  • A framework for classifying denial of service attacks
    (2003), pp. 99-110.
    by Alefiya Hussain, John Heidemann, Christos Papadopoulos
    posted to time_series security networking monitor framework dos classifier _2003 by JoeVinegar on 2008-06-17 16:11:27 as **
  • Joint feature re-extraction and classification using an iterative semi-supervised support vector machine algorithm
    Machine Learning, Vol. 71, No. 1. (13 April 2008), pp. 33-53.
    by Yuanqing Li, Cuntai Guan
    posted to svm time_series by jjrodriguez on 2008-03-24 09:18:58 as **
  • Feature subset selection and feature ranking for multivariate time series
    Transactions on Knowledge and Data Engineering, Vol. 17, No. 9. (2005), pp. 1186-1198.
    by H Yoon, K Yang, C Shahabi
  • Learning the structure of dynamic Bayesian networks from time series and steady state measurements
    Machine Learning, Vol. 71, No. 2. (26 June 2008), pp. 185-217.
    by Harri Lähdesmäki, Ilya Shmulevich
    posted to time_series bayesian_networks by jjrodriguez on 2008-05-05 09:54:00 as **
  • Clustering of biological time series by cepstral coefficients based distances
    Pattern Recognition, Vol. 41, No. 7. (July 2008), pp. 2398-2412.
    by Alexios Savvides, Vasilis J Promponas, Konstantinos Fokianos
    posted to clustering time_series by jjrodriguez on 2008-04-10 16:56:45 as **
  • Clustering multivariate time-series data
    Journal of Chemometrics, Vol. 19, No. 8. (2005), pp. 427-438.
    by Ashish Singhal, Dale E Seborg
    posted to clustering time_series by jjrodriguez on 2008-03-03 17:25:40 as read
  • CL eV er: A Feature Subset Selection Technique for Multivariate Time Series
    Advances in Knowledge Discovery and Data Mining (2005), pp. 516-522.
    by Kiyoung Yang, Hyunjin Yoon, Cyrus Shahabi
    posted to time_series svm feature_selection by jjrodriguez on 2008-05-21 18:29:21 as **
  • Hierarchical Clustering of Time-Series Data Streams
    Knowledge and Data Engineering, IEEE Transactions on, Vol. 20, No. 5. (2008), pp. 615-627.
    by Pedro P Rodrigues, Joao Gama, Joao Pedroso
    posted to time_series online by jjrodriguez on 2008-04-30 17:11:29 as **
  • Optimal sequential kernel detection for dependent processes
    Journal of Statistical Planning and Inference, Vol. 132, No. 1-2. (1 June 2005), pp. 131-147.
    by Ansgar Steland
    posted to time_series svm by jjrodriguez on 2008-04-30 15:49:48 as **
  • Mining deviants in time series data streams
    Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on (2004), pp. 41-50.
    posted to time_series online by jjrodriguez on 2008-04-30 17:43:43 as **
  • A symbolic representation of time series, with implications for streaming algorithms
    (2003), pp. 2-11.
    by Jessica Lin, Eamonn Keogh, Stefano Lonardi, Bill Chiu
    posted to time_series online by jjrodriguez on 2008-05-06 15:48:33 as ** along with 3 people galkin fheintz sensorweb
  • Multi-dimensional regression analysis of time-series data streams
    (2002), pp. 323-334.
    by Yixin Chen, Guozhu Dong, Jiawei Han, Benjamin W Wah, Jianyong Wang
    posted to time_series online by jjrodriguez on 2008-05-06 16:52:00 as ** along with 1 person burtonwu
  • A Kernel for Time Series Based on Global Alignments
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, Vol. 2 (2007), pp. II-413-II-416.
    by M Cuturi, JP Vert, O Birkenes, T Matsui
    posted to time_series svm by jjrodriguez on 2008-04-30 16:51:05 as **
  • On the time series support vector machine using dynamic time warping kernel for brain activity classification
    Cybernetics and Systems Analysis, Vol. 44, No. 1. (27 January 2008), pp. 125-138.
    posted to time_series svm invref dtw by jjrodriguez on 2008-04-24 18:42:28 as **
  • Inductive process modeling
    Machine Learning, Vol. 71, No. 1. (13 April 2008), pp. 1-32.
    by Will Bridewell, Pat Langley, Ljupčo Todorovski, Sašo Džeroski
    posted to time_series by jjrodriguez on 2008-03-24 09:21:38 as **
  • Warping the time on data streams
    Data & Knowledge Engineering, Vol. 62, No. 3. (September 2007), pp. 438-458.
    by Paolo Capitani, Paolo Ciaccia
    posted to time_series online dtw by jjrodriguez on 2008-04-30 12:55:58 as **
  • Anytime Classification Using the Nearest Neighbor Algorithm with Applications to Stream Mining
    (2006), pp. 623-632.
    by Ken Ueno, Xiaopeng Xi, Eamonn Keogh, Dah-Jye Lee
    posted to time_series online dtw by jjrodriguez on 2008-04-30 12:49:10 as **
  • Predictive Mining of Time Series Data in Astronomy
    Vol. 295 (2003), 431.
    by E Perlman, A Java
    edited by HE Payne, RI Jedrzejewski, RN Hook
    posted to time_series online by jjrodriguez on 2008-05-06 16:43:21 as **
  • Inferring the conditional mean
    (19 Oct 2007)
    by Gusztav Morvai, Benjamin Weiss
  • A method of estimating the noise level in a chaotic time series
    Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 18, No. 2. (2008)
    by AW Jayawardena, Pengcheng Xu, WK Li
    posted to time_series noise mathematical_model chaos by jjray on 2008-06-30 23:59:02 as **
  • Tutorial on Univariate Autoregressive Spectral Analysis
    The Journal of Clinical Monitoring and Computing, Vol. 19, No. 6. (December 2005), pp. 401-410.
    by Reijo Takalo, Heli Hytti, Heimo Ihalainen
    posted to ar_modelling signal_analysis spectral_analysis time_series by I_Biomed on 2007-12-31 12:41:51 as **
  • Cluster analysis of gene expression dynamics.
    Proc Natl Acad Sci U S A, Vol. 99, No. 14. (9 July 2002), pp. 9121-9126.
    by MF Ramoni, P Sebastiani, IS Kohane
    posted to time_series by hms on 2007-06-09 19:13:11 as ** along with 2 people dragonrez dps
  • On Sample Reuse Methods for Dependent Data
    Journal of the Royal Statistical Society. Series B (Methodological), Vol. 58, No. 4. (1996), pp. 727-737.
    by Peter Hall, Bingyi Jing
  • The Use of Subseries Values for Estimating the Variance of a General Statistic from a Stationary Sequence
    The Annals of Statistics, Vol. 14, No. 3. (1986), pp. 1171-1179.
    by Edward Carlstein
  • A unified approach to nonlinearity, structural change, and outliers
    Journal of Econometrics, Vol. 137, No. 1. (March 2007), pp. 112-133.
    by Paolo Giordani, Robert Kohn, Dick van Dijk
    posted to time_series state_space_models breaks by graycalhoun to the group UCSD_Economics on 2007-01-31 15:56:25 as **
  • A conceptual view on trajectories
    Data & Knowledge Engineering, Vol. 65, No. 1. (April 2008), pp. 126-146.
    by Stefano Spaccapietra, Christine Parent, Maria L Damiani, Jose A de Macedo, Fabio Porto, Christelle Vangenot
    posted to time_series by fheintz on 2008-03-20 13:55:05 as ** along with 1 person Hoertnagl
  • Methods of Analyzing the Nonstationary Time Series with Implicit Changes in Their Properties
    Autom. Remote Control, Vol. 66, No. 12. (December 2005), pp. 1871-1896.
    by EA Grebenyuk
    posted to time_series by fheintz on 2006-03-07 07:52:00 as **
  • On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
    Data Min. Knowl. Discov., Vol. 7, No. 4. (October 2003), pp. 349-371.
    by Eamonn Keogh, Shruti Kasetty
    posted to benchmarks time_series by fheintz on 2006-03-07 07:51:48 as **
  • Learning States and Rules for Detecting Anomalies in Time Series
    Applied Intelligence, Vol. 23, No. 3. (December 2005), pp. 241-255.
    by Stan Salvador, Philip Chan
    posted to time_series by fheintz on 2006-03-07 07:51:23 as **
  • Time Series Segmentation Using a Novel Adaptive Eigendecomposition Algorithm
    J. VLSI Signal Process. Syst., Vol. 32, No. 1-2. (2002), pp. 7-17.
    by Yadunandana N Rao, Jose C Principe
    posted to time_series by fheintz on 2006-03-07 07:50:56 as **
  • Piecewise Linear Time Series Estimation with GRASP
    Comput. Optim. Appl., Vol. 19, No. 2. (July 2001), pp. 127-144.
    by Marcelo C Medeiros, Mauricio GC Resende, Alvaro Veiga
    posted to time_series by fheintz on 2006-03-07 07:50:29 as **
  • Temporal Coupling Verification in Time Series Databases
    J. Intell. Inf. Syst., Vol. 15, No. 1. (2000), pp. 29-49.
    by Chang-Shing Perng, Stott D Parker
    posted to time_series verification by fheintz on 2006-03-07 07:49:45 as **
  • Clustering of streaming time series is meaningless
    (2003), pp. 56-65.
    by Jessica Lin, Eamonn Keogh, Wagner Truppel
    posted to stream_based_systems time_series by fheintz on 2006-03-07 07:49:27 as **
  • Event detection from time series data
    (1999), pp. 33-42.
    by Valery Guralnik, Jaideep Srivastava
  • How do nitrogen inputs to the Changjiang basin impact the Changjiang River nitrate: A temporal analysis for 1968–1997
    Global Biogeochemical Cycles, Vol. 17, No. 4. (2003), 1091.
    by Weijin Yan, Shen Zhang, Pu Sun, Sybil P Seitzinger
  • The influence of contrasting suspended particulate matter transport regimes on the bias and precision of flux estimates
    Science of The Total Environment, Vol. 370, No. 2-3. (1 November 2006), pp. 515-531.
    by Florentina Moatar, Gwenaelle Person, Michel Meybeck, Alexandra Coynel, Henri Etcheber, Philippe Crouzet
  • Long-term changes in nutrient concentrations of the Changjiang River and principal tributaries
    Biogeochemistry, Vol. 85, No. 2. (September 2007), pp. 215-234.
    by Shuiwang Duan, Feng Xu, Li-Jun Wang
  • Suspended sediments and organic matter in mountain headwaters of the Amazon River: Results from a 1-year time series study in the central Peruvian Andes
    Geochimica et Cosmochimica Acta, Vol. 72, No. 3. (1 February 2008), pp. 732-740.
    by Amy Townsend-Small, Michael E Mcclain, Bonnie Hall, Jorge L Noguera, Carlos A Llerena, Jay A Brandes
  • Long-Term Trends in Stream Nitrate Concentrations and Losses Across Watersheds Undergoing Recovery from Acidification in the Czech Republic
    Ecosystems
    by Filip Oulehle, William Mcdowell, Jacqueline Aitkenhead-Peterson, Pavel Krám, Jakub Hruška, Tomáš Navrátil, František Buzek, Daniela Fottová
  • Gulf of Mexico Hypoxia: Alternate States and a Legacy
    Environ. Sci. Technol., Vol. 42, No. 7. (1 April 2008), pp. 2323-2327.
    by Eugene R Turner, Nancy N Rabalais, Dubravko Justic
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