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Finding relevant variables in PAC model with membership queries

Autor
Guijarro, D.; Tarui, J.; Tsukiji, T.
Tipus d'activitat
Document cientificotècnic
Data
1999-12
Codi
R99-39
Repositori
http://hdl.handle.net/2117/93089 Obrir en finestra nova
Resum
A new research frontier in AI and data mining seeks to develop methods to automatically discover relevant variables among many irrelevant ones. In this paper, we present four algorithms that output such crucial variables in PAC model with membership queries. The first algorithm executes the task under any unknown distribution by measuring the distance between virtual and real targets. The second algorithm exhausts virtual version space under an arbitrary distribution. The third algorithm exhaust...
Citació
Guijarro, D., Tarui, J., Tsukiji, T. "Finding relevant variables in PAC model with membership queries". 1999.
Paraules clau
AI, Arbitrary distribution, Artificial intelligence, Data mining, Membership queries, Uniform distribution, Unknown distribution

Participants

  • Guijarro Guillem, David  (autor)
  • Tarui, Jun  (autor)
  • Tsukiji, Tatsuie  (autor)

Arxius