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» Reinforcement Learning with Time
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AAAI
2007
15 years 6 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
97
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SOCRATES
2008
115views Education» more  SOCRATES 2008»
15 years 5 months ago
Collaborative Online Learning: A Heterogeneous Phenomenon
This paper investigates the virtual seminar "Education and Socialization in Early Childhood" at the LudwigMaximilians-University, Munich. In this seminar, we focused on ...
Birgitta Kopp, Heinz Mandl
NIPS
2007
15 years 5 months ago
Inferring Elapsed Time from Stochastic Neural Processes
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
Misha Ahrens, Maneesh Sahani
IJCNN
2007
IEEE
15 years 10 months ago
A Constructive-Fuzzy System Modeling for Time Series Forecasting
— This paper suggests a constructive fuzzy system modeling for time series prediction. The model proposed is based on Takagi-Sugeno system and it comprises two phases. First, a f...
Ivette Luna, Secundino Soares, Rosangela Ballini
FLAIRS
2001
15 years 5 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...