A decision tree is a decision support recursive partitioning structure that uses a tree-like model of decisions and their possible consequences, including...

classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable...

complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence of...

A decision model in decision theory is the starting point for a decision method within a formal (axiomatic) system. Decision models contain at least one...

typically simple decision trees. When a decision tree is the weak learner, the resulting algorithm is called gradient-boosted trees; it usually outperforms...

learning and search algorithms that reduces the size of decision trees by removing sections of the tree that are non-critical and redundant to classify instances...

machines Random-access machines Turing machines Decision tree model External memory model Functional models include: Abstract rewriting systems Combinatory...

by decision analysts with an intuitive semantic that is easy to understand. It is now adopted widely and becoming an alternative to the decision tree which...

model tree (LMT) is a classification model with an associated supervised training algorithm that combines logistic regression (LR) and decision tree learning...

take the form of a decision tree Decision tree model#Quantum decision tree, decision tree complexity for a quantum decision tree Equitable cake-cutting#Query...

{\displaystyle n} , in a comparison-based model of computation such as a decision tree or algebraic decision tree, is Θ ( n log ⁡ n ) {\displaystyle \Theta...

n)} time in the algebraic decision tree model of computation, a model that is more suitable for convex hulls, and in this model convex hulls also require...

the decision tree model of computation, certificate complexity is the minimum number of the n {\displaystyle n} input variables of a decision tree that...

Markov decision process (MDP), also called a stochastic dynamic program or stochastic control problem, is a model for sequential decision making when outcomes...

tables. However, in this model all program steps are counted, not just decisions. An upper bound for a decision-tree model was given by Meyer auf der...

Fast-and-frugal tree or matching heuristic (in the study of decision-making) is a simple graphical structure that categorizes objects by asking one question...

An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5,...

decision forests is an ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees during...

adding nodes to inferred decision trees to improve the predictive accuracy.[clarification needed] A decision tree is a graphical model that is used as a support...

In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan used to generate a decision tree from a dataset. ID3...

of computers, we adopt the Decision tree model. Let's rephrase a bit of what our objective is. In the Decision tree model, the lower bound to be shown...

classical decision trees. Data can be analyzed to see if a quantum decision tree model fits the data better. Quantum probability provides a new way to explain...

A decision cycle is said to occur when an explicitly specified decision model is used to guide a decision and then the outcomes of that decision are...

mlpack::DecisionTree tree; // Step 1: create model. tree.Train(dataset, labels, 5); // Step 2: train model. arma::Row<size_t> predictions; tree.Classify(testDataset...

tree structure, tree diagram, or tree model is a way of representing the hierarchical nature of a structure in a graphical form. It is named a "tree structure"...

Game tree size (total number of possible games) Decision complexity (number of leaf nodes in the smallest decision tree for initial position) Game-tree complexity...

Quantization Logistic Model Tree Minimum message length (decision trees, decision graphs, etc.) Nearest Neighbor Algorithm Analogical modeling Probably approximately...

O(n\log \log n)} time. In even more restricted models of computation, such as the algebraic decision tree, the problem can be solved in the somewhat slower...

this decision tree algorithm should be slightly different from the results using segment test detector. This is because that decision tree model depends...

becomes O(m log m). A matching lower bound is known in the algebraic decision tree model of computation. The task of computing the volume of a convex polytope...