Sciweavers

237 search results - page 9 / 48
» Important extrema of time series
Sort
View
MICAI
2004
Springer
14 years 23 days ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 8 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
ICML
2010
IEEE
13 years 8 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
CORR
2006
Springer
91views Education» more  CORR 2006»
13 years 7 months ago
Universal Codes as a Basis for Time Series Testing
We suggest a new approach to hypothesis testing for ergodic and stationary processes. In contrast to standard methods, the suggested approach gives a possibility to make tests, ba...
Boris Ryabko, Jaakko Astola
BMCBI
2006
123views more  BMCBI 2006»
13 years 7 months ago
Permutation test for periodicity in short time series data
Background: Periodic processes, such as the circadian rhythm, are important factors modulating and coordinating transcription of genes governing key metabolic pathways. Theoretica...
Andrey A. Ptitsyn, Sanjin Zvonic, Jeffrey M. Gimbl...