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» The complexity of stochastic sequences
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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 7 months ago
An evolutionary approach for competency-based curriculum sequencing
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...
NPL
2006
85views more  NPL 2006»
15 years 6 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
KDD
2009
ACM
207views Data Mining» more  KDD 2009»
16 years 7 months ago
DynaMMo: mining and summarization of coevolving sequences with missing values
Given multiple time sequences with missing values, we propose DynaMMo which summarizes, compresses, and finds latent variables. The idea is to discover hidden variables and learn ...
Lei Li, James McCann, Nancy S. Pollard, Christos F...
RECOMB
2003
Springer
16 years 6 months ago
Finding recurrent sources in sequences
Many genomic sequences and, more generally, (multivariate) time series display tremendous variability. However, often it is reasonable to assume that the sequence is actually gene...
Aristides Gionis, Heikki Mannila
ASPDAC
2006
ACM
100views Hardware» more  ASPDAC 2006»
16 years 12 days ago
Generation of shorter sequences for high resolution error diagnosis using sequential SAT
Commonly used pattern sources in simulation-based verification include random, guided random, or design verification patterns. Although these patterns may help bring the design ...
Sung-Jui (Song-Ra) Pan, Kwang-Ting Cheng, John Moo...