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Decision Trees

Computerized adaptive test and decision trees: A unifying approach

Computerized adaptive test and decision trees: A unifying approach

... proposed decision trees (DTs) as an alternative to computerized adapted tests ...The decision tree is sequentially built by means of an innovative algorithmic procedure that selects the items ...

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Credit scoring with boosted decision trees

Credit scoring with boosted decision trees

... boosted decision trees, a powerful learning technique in which an ensemble of decision trees is developed to form a classifier given by a weighted majority vote of classifications predicted by ...

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Decision trees: Amelioration, simulation, application

Decision trees: Amelioration, simulation, application

... the decision trees over administering the overall best treatment is divided by the benefit of administrating each patient their optimal treatment over administering the overall best ...

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Multispectral Image Analysis using Decision Trees

Multispectral Image Analysis using Decision Trees

... the decision tree so that it can be used as a reliable ...implement decision trees using the ...pruned decision tree regarding classification ...

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Shaking Decision Trees for Risks and Rewards

Shaking Decision Trees for Risks and Rewards

... comfort. Decision trees’ numbers can help clients feel that their settlement decisions (yea or nay) are not undisciplined or arbitrary but supported by a process that provides logic and ...

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Data Mining Decision Trees in Economy

Data Mining Decision Trees in Economy

... Using Decision Trees (DT) techniques our investigation tries to illustrate how to extract meaningful socio-economical knowledge from large data sets derived from the Current Populations ...

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Decision trees and forests: a probabilistic perspective

Decision trees and forests: a probabilistic perspective

... Decision trees are a very popular tool in machine learning and statistics for prediction tasks ...a decision tree from training data involves two steps: (i) learning an hierarchical, tree-structured ...

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Enlarging the Margins in Perceptron Decision Trees

Enlarging the Margins in Perceptron Decision Trees

... common decision trees, in which each node checks the value of a single attribute, could be defined as axis parallel, because the tests associated with each node are equivalent to axis-parallel hyperplanes in ...

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Converting Declarative Rules into Decision Trees

Converting Declarative Rules into Decision Trees

... rule-based decision tree method for learning a single decision tree that approximates the classification decision of a majority voting ...based decision tree) and then a single decision ...

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Privately  Evaluating  Decision  Trees   and  Random  Forests

Privately Evaluating Decision Trees and Random Forests

... diagnosis. Decision trees are used by physicians for both automatic medical diagnosis and medical decision making [62, ...a decision tree model can be efficiently exploited to compromise the ...

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A pilot study on interactive decision trees

A pilot study on interactive decision trees

... questions) decision trees and the subject categorisation should include numbers to make sure the user understands all subjects need to be run ...the decision tree page in the Navigator with the same ...

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Complete Search for Feature Selection in Decision Trees

Complete Search for Feature Selection in Decision Trees

... duplicate decision trees can be pruned from the search ...distinct trees found during the search is, however, unfeasible, since there may be an exponential number of such ...distinct decision ...

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Developing Decision Trees for Handling Uncertain Data

Developing Decision Trees for Handling Uncertain Data

... i.e. Decision tree, K-nearest neighbour, Naïve bayes classifier, neural ...synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in ...detail. ...

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Using Decision Trees to Construct a Practical Parser

Using Decision Trees to Construct a Practical Parser

... Using Decision Trees to Construct a Practical Parser U s i n g D e c i s i o n T r e e s t o C o n s t r u c t a P r a c t i c a l P a r s e r M a s a h i k o H a r u n o * S a t o s h i S h i r a i t[.] ...

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Decision Trees as a Tool to Select Sugarcane Families

Decision Trees as a Tool to Select Sugarcane Families

... validated. Decision trees can be used to categorize the yield components, specifically by using the classifi- cation and regression trees (CART) algorithm [4], which is a statistical method ...

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Finding Cost-Efficient Decision Trees

Finding Cost-Efficient Decision Trees

... larger decision trees containing empty ...pruned decision trees created by ...best decision trees found by the constraint ...

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Big Data Decision Trees with R

Big Data Decision Trees with R

... estimate decision trees efficiently on very large data sets. Decision trees (Breiman, Friedman, Olshen, & Stone, 1984) provide relatively easy-to-interpret models, and are widely used in a ...

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A Survey of Classification Methods Utilizing Decision Trees

A Survey of Classification Methods Utilizing Decision Trees

... The C4.5 algorithm generates a decision tree for the given data by recursively dividing that data. The decision tree grows employing Depth-first strategy. The C4.5 algorithm considers all the probable ...

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C4.5 Versus Other Decision Trees: A Review

C4.5 Versus Other Decision Trees: A Review

... Decision trees repeat themselves for distributing the number of data into sub- groups, this iterative progress repeats until all the data has been grouped accordingly desired ...

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Weighted Oblique Decision Trees

Weighted Oblique Decision Trees

... Oblique decision trees present another way to construct compact trees and achieve better performance, and the main difference lies in the splits of multivariate linear combinations over ...oblique ...

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