Results 131 to 140 of about 1,054,775 (163)
Generating Scenario Trees for Multistage Decision Problems [PDF]
, 2001 Kjetil Høyland, Stein W. Wallace
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Video indexing and similarity retrieval by largest common subgraph detection using decision trees [PDF]
, 2001 Kim Shearer +2 more
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Investigation and Reduction of Discretization Variance in Decision Tree Induction
, 2000 Pierre Geurts, Louis Wehenkel
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Using Evolutionary Algorithms to Induce Oblique Decision Trees
, 2000 Erick Cantú‐Paz, Chandrika Kamath
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Economic Theory, 2005 The traditional model of sequential decision making, for instance, in extensive form games, is a tree. Most texts define a tree as a connected directed graph without loops and a distinguished node, called the root. But an abstract graph is not a domain for decision theory.
Alós-Ferrer, C., Ritzberger, K.
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2009
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually large) datasets characterized by n objects (records), each one containing a set x of numerical or nominal attributes, and a special feature y designed as its outcome. Statisticians use the terms “predictors” to identify attributes and “response variable”
SICILIANO, ROBERTA, CONVERSANO, CLAUDIO
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Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually large) datasets characterized by n objects (records), each one containing a set x of numerical or nominal attributes, and a special feature y designed as its outcome. Statisticians use the terms “predictors” to identify attributes and “response variable”
SICILIANO, ROBERTA, CONVERSANO, CLAUDIO
openaire +3 more sources