• Neural Network Toolbox

  • Referenced in 178 articles [sw07378]
  • applications such as data fitting, pattern recognition, clustering, time-series prediction, and dynamic system modeling ... speed up training and handle large data sets, you can distribute computations and data across...
  • GMRFLib

  • Referenced in 308 articles [sw06641]
  • from structural time-series analysis to the analysis of longitudinal and survival data, spatio-temporal...
  • SIMCA

  • Referenced in 5 articles [sw20768]
  • large amounts of data, batch data, time-series data or other data, SIMCA transforms your...
  • psychonetrics

  • Referenced in 3 articles [sw34796]
  • cross-sectional data or single-subject time-series data. This assumes that all variables ... These relationships can be estimated from time-series data or panel data featuring at least ... extit{ts-lvgvar} when estimated from time-series data and the extit{panel-lvgvar} when ... empirical examples, one using time-series data and one using panel data, and evaluated...
  • TIMESAT

  • Referenced in 4 articles [sw27691]
  • program for analyzing time-series of satellite sensor data. Three different least-squares methods ... processing time-series of satellite sensor data are presented. The first method uses local polynomial ... more clear cut least-squares methods, where data are fit to a basis of harmonic ... other types of satellite-derived time-series data...
  • FLS

  • Referenced in 6 articles [sw24350]
  • beliefs concerning the generation of a time-series data set take two forms: a prior...
  • AutoDecon

  • Referenced in 3 articles [sw09099]
  • analysis of aperiodic pulsatile heteroscedastic time-series data, specifically hormone pulsatility. We have utilized growth ... hormone (GH) concentration time-series data as an example for the utilization of this ... algorithms when applied to GH concentration time-series data. Based on these simulations...
  • hctsa

  • Referenced in 4 articles [sw28449]
  • time-series phenotyping using massive feature extraction. Phenotype measurements frequently take the form of time ... implementations of thousands of diverse scientific time-series analysis methods in an approach termed highly ... data. hctsa includes an architecture for computing over 7,700 time-series features ... quantify and understand informative structure in time-series data...
  • DREAM4

  • Referenced in 5 articles [sw36908]
  • methods that take advantage of time-series data by combining the three into a pipeline...
  • OKVAR-Boost

  • Referenced in 3 articles [sw24063]
  • perturbation (knock-out) or wild-type time-series data have appeared in the literature addressing ... given the generation mechanism of the time-series data. In this study, we introduce...
  • PAST

  • Referenced in 6 articles [sw14247]
  • multivariate statistics, curve fitting, time-series analysis, data plotting, and simple phylogenetic analysis. Many...
  • DUE

  • Referenced in 3 articles [sw27796]
  • propagation analyses: the “Data Uncertainty Engine (DUE)”. Data may be imported into DUE from file ... rasters, time-series of spatial data, simple time-series and objects that are constant ... categorical variables (e.g. land-cover). Once data are imported, an uncertainty model can be developed...
  • boxcount

  • Referenced in 3 articles [sw10771]
  • multidimensional data, as well as analyzing time-series data efficiently with different embedding dimensions...
  • MSMBuilder

  • Referenced in 2 articles [sw23802]
  • building statistical models of high-dimensional time-series data. It is designed with a particular ... package includes complementary algorithms for understanding time-series data such as hidden Markov models ... applicable to other computational or experimental time-series measurements...
  • ThermalPlot

  • Referenced in 1 article [sw27744]
  • ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor. Multi-attribute time-series ... important task when making sense of such data is to provide users with an overview ... user-specified time window. Animating this mapping via a moving time window gives rise ... interactive exploration environment for multi-attribute time-series data that ties together a carefully chosen...
  • TimeSeriesClustering

  • Referenced in 2 articles [sw34951]
  • between time series datasets. The software provides a type system for temporal data, and provides ... provides simple integration of multi-dimensional time-series data (e.g. multiple attributes such as wind...
  • mlVAR

  • Referenced in 2 articles [sw33247]
  • multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal...
  • MARSS

  • Referenced in 2 articles [sw23275]
  • space (MARSS) models fit to multivariate time-series data. Fitting is primarily via an Expectation...
  • DENFIS

  • Referenced in 57 articles [sw24183]
  • inference system and its application for time-series prediction. This paper introduces a new type ... time series prediction. DENFIS evolve through incremental, hybrid (supervised/unsupervised), learning, and accommodate new input data...
  • TSMining

  • Referenced in 1 article [sw29030]
  • Mining Univariate and Multivariate Motifs in Time-Series Data. Implementations of a number of functions ... used to mine numeric time-series data. It covers the implementation of SAX transformation, univariate...