Results 91 to 100 of about 320,698 (271)
An inequality for the Fourier spectrum of parity decision trees [PDF]
arXiv, 2015 We give a new bound on the sum of the linear Fourier coefficients of a Boolean function in terms of its parity decision tree complexity. This result generalizes an inequality of O'Donnell and Servedio for regular decision trees. We use this bound to obtain the first non-trivial lower bound on the parity decision tree complexity of the recursive ...
arxiv
An Application of Computerized Decision Tree Models in Management-Union Bargaining [PDF]
, 1985 Frederick W. Winter
openalex +1 more source
On Quantum Decision Trees [PDF]
arXiv, 2017 Quantum decision systems are being increasingly considered for use in artificial intelligence applications. Classical and quantum nodes can be distinguished based on certain correlations in their states. This paper investigates some properties of the states obtained in a decision tree structure. How these correlations may be mapped to the decision tree
arxiv
Learning accurate and interpretable decision trees [PDF]
arXivDecision trees are a popular tool in machine learning and yield easy-to-understand models. Several techniques have been proposed in the literature for learning a decision tree classifier, with different techniques working well for data from different domains. In this work, we develop approaches to design decision tree learning algorithms given repeated
arxiv
Batched Lazy Decision Trees [PDF]
arXiv, 2016 We introduce a batched lazy algorithm for supervised classification using decision trees. It avoids unnecessary visits to irrelevant nodes when it is used to make predictions with either eagerly or lazily trained decision trees. A set of experiments demonstrate that the proposed algorithm can outperform both the conventional and lazy decision tree ...
arxiv
An Automated Approach to the Design of Decision Tree Classifiers [PDF]
, 1982 P. Argentiero +2 more
openalex +1 more source
Advanced Engineering Materials, EarlyView.AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng +7 more
wiley +1 more source
CUDT: A CUDA Based Decision Tree Algorithm
The Scientific World Journal, 2014 Decision tree is one of the famous classification methods in data mining. Many researches have been proposed, which were focusing on improving the performance of decision tree.
Win-Tsung Lo +4 more
doaj +1 more source
A Theory of Probabilistic Boosting, Decision Trees and Matryoshki [PDF]
arXiv, 2006 We present a theory of boosting probabilistic classifiers. We place ourselves in the situation of a user who only provides a stopping parameter and a probabilistic weak learner/classifier and compare three types of boosting algorithms: probabilistic Adaboost, decision tree, and tree of trees of ... of trees, which we call matryoshka.
arxiv