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FLAIRS
2007
15 years 9 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
EMNLP
2006
15 years 8 months ago
Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation
We present an investigation of recently proposed character and word sequence kernels for the task of authorship attribution based on relatively short texts. Performance is compare...
Conrad Sanderson, Simon Günter
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...
BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
15 years 4 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 6 months ago
On the Sets of Real Numbers Recognized by Finite Automata in Multiple Bases
This article studies the expressive power of finite automata recognizing sets of real numbers encoded in positional notation. We consider Muller automata as well as the restricted ...
Bernard Boigelot, Julien Brusten, Véronique...