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Mostrando ítems 91-95 de 95
Artículo
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Supervised learning by means of accuracy-aware evolutionary algorithms
(Elsevier, 2003)
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizable rules in continuous and discrete domains based on evolutionary algorithms. The main contributions of our approach are ...
Capítulo de Libro
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Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours
(2002)
In today’s deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected price profiles help market participants to determine their bidding strategies. Consequently, accuracy ...
Ponencia
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Aprendizaje Incremental de Reglas en Data Streams
(Thomson-Paraninfo, 2005)
En este artículo presentamos FACIL, un algoritmo de aprendizaje incremental dirigido a la clasificación de data streams numéricos. Mediante un esquema de ventana múltiple y una política de generalización moderada, nuestra ...
Ponencia
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Databases Reduction
(SciTePress, 2004)
Progress in digital data acquisition and storage technology has resulted in the growth of huge databases. Nevertheless, these techniques often have high computational cost. Then, it is advisable to apply a preprocessing ...
Artículo
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Finding representative patterns withordered projections
(Elsevier, 2003)
This paper presents a new approach to 2nding representative patterns for dataset editing. The algorithm patterns by ordered projections (POP), has some interesting characteristics: important reduction of the number of ...