A Syntactic characterization of bounded-rank decision trees in terms of decision lsts

Decision lists and decision trees are two models of computation for boolean functions. Blum has shown (Information Processing Letters 42 (1992), 183-185) that rank-k decision trees are a subclass of decision lists. Here we identify precisely, by giving a syntactical characterization, the subclass of...

Descripción completa

Detalles Bibliográficos
Autor: Galesi, Nicola
Tipo de recurso: informe técnico
Fecha de publicación:1996
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/96436
Acceso en línea:https://hdl.handle.net/2117/96436
Access Level:acceso abierto
Palabra clave:Decision lists
Decision trees
Syntactical characterization
Àrees temàtiques de la UPC::Informàtica::Programació
Descripción
Sumario:Decision lists and decision trees are two models of computation for boolean functions. Blum has shown (Information Processing Letters 42 (1992), 183-185) that rank-k decision trees are a subclass of decision lists. Here we identify precisely, by giving a syntactical characterization, the subclass of decision lists which correspond exactly to the class of bounded rank decision trees. Furthermore we give a more general algorithm to recover reduced decision trees from decision lists.