Stopping rules and class probability trees
Boosted Classification Trees and Class Probability/Quantile Estimation
... classification trees produce excellent estimates of class membership and are surprisingly resistant to overfitting, while the same is not true of the values that the logistic re- gression view of Friedman ...
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Smoothing in Probability Estimation Trees
... the probability estimates of the outcomes, so that we do not have the zero-frequency ...each class count in the leaf nodes, and it thus effectively solves the zero-frequency ...each class count may ...
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Optimal stopping rules for jump processes
... (Communicated by Prof. S. Watanabe, Oct. 12, 1979) 1. Introduction L et X „ te R +, be a stochastic process (which we shall call a reward process) defined o n a probability space (52, .F, P) and { F e } be an ...
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Evaluating probability estimates from decision trees
... Decision trees typically produce crisp classifications; that is, the leaves carry decisions for individual ...majority class would give a predictive accuracy of ...for class membership at values < ...
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Visualizing class probability estimators
... for class probability ...produce class probability ...decision trees that demonstrate the usefulness of this method as a general tool for analyzing the output of learning ...
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INSPECTION STOPPING RULES FOR CONVENTIONAL INSPECTION AND INSPECTION WITH MEMORY
... This can be interpreted in the following way. Every produced item meets the standards with probability close to 1. Long-term produc- tion may lead to equipment failure, causing product quality deterioration. Once ...
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Chapter 4: Probability and Counting Rules
... • A record of all possible outcomes of a probability experiment using lists, charts, trees or Venn Diagrams. • Use lists, charts, and tree diagrams to answer questions about equally likely events. • Use ...
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Ensembles of probability estimation trees for customer churn prediction
... estimating class membership probabilities [12, ...accurate trees, results in lower quality of estimated class ...adjusts probability estimates in order to make them less ...
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Converting Declarative Rules into Decision Trees
... of rules RR which is a subset of CR that satisfies the value of the corresponding ...frequent class found in the whole set of rules. Otherwise, if all the rules in RR assigned to the branch ...
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IIT Class XII Maths Probability
... the probability that an entry contains at least 5 correct answers? ...identical rules until some one wins the game. Find the probability of A winning the ...
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A class of recursive optimal stopping problems with applications to stock trading
... some probability p ∈ (0, 1) and with a delay that may vary across different ...with probability 1 − p the order is either not executed or cancelled by the ...
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Pruning Rules for Learning Parsimonious Context Trees
... and compute the mean log predictive probability over the test sequences from all iterations. We aggregate the result- ing 7 × 25 mean log predictive probabilities in two different ways and visualize the results in ...
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Phase transitions and noise sensitivity on the Poisson space via stopping sets and decision trees
... Description of the models. The k-percolation model arises by placing i.i.d. bounded grains (shapes) at each point in the support of a stationary Poisson point process on R d , d ≥ 2 with intensity γ. The k-covered region ...
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Some conservative stopping rules for the operational testing of saftey-critical software
... a probability distribution - hence our use of the ‘ignorance’ uniform prior in the illustrative examples ...these stopping rules cannot, we believe, have any serious grounds for questioning the use ...
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Some conservative stopping rules for the operational testing of safety-critical software
... 1 Background and motivation The problem described here arose during recent discussions, in which one of the authors was involved, associated with the assessment of the software-based primary protection system of a ...
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Some conservative stopping rules for the operational testing of saftey-critical software
... a probability distribution - hence our use of the ‘ignorance’ uniform prior in the illustrative examples ...these stopping rules cannot, we believe, have any serious grounds for questioning the use ...
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A comparison of a new multinomial stopping rule with stopping rules of fleming and gehan in single arm phase II cancer clinical trials
... The increase in drugs available for study along with the human and resource costs for the conduct of clinical trials requires investigators to revisit trial design [1,2]. Nowhere is this more evident than in oncology, ...
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Series, Weighted Automata, Probabilistic Automata and Probability Distributions for Unranked Trees.
... for probability distributions over tree structured ...of probability distributions defined by deterministic probabilistic tree ...the class of probability distributions: already in the string ...
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Construction of the Value Function and Optimal Rules in Optimal Stopping of One-dimensional Diffusions
... optimal stopping problems for one-dimensional ...two-point stopping locations while the other determines a semi- infinite linear program over the coefficients of the harmonic ...the class of such ...
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Probability calibration trees
... many probability estimates being calibrated to the same ...of probability calibration trees generally appear smooth and follow the diagonal line closely, demonstrating that probability ...
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