[PDF] Top 20 A Decision Tree Model Based on Preference Cost Sensitive
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A Decision Tree Model Based on Preference Cost Sensitive
... existing decision tree models have not considered the decision makers’ preference behaviors during the classification process, these models cannot predict the problems with obvious ... See full document
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Cost effectiveness of community-based therapeutic care for children with severe acute malnutrition in Zambia: decision tree model
... Lusaka model of CTC for SAM appears highly cost effec- ...SAM. Cost effectiveness could be increased in future with less external technical support, as CTC is increasingly implemented through ... See full document
9
A cost sensitive decision tree learning algorithm based on a multi armed bandit framework
... a tree which is far too large with over 20,000 ...the tree build early results in many examples at the leaf nodes which results in low ...the tree to grow fully results in overgrown trees with few ... See full document
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Cost sensitive decision tree learning using a multi armed bandit framework
... a tree for each training and testing pair over each cost matrix, is the soybean ...the cost is reduced by having a sub-tree, is the sub-tree ...the model to the original ... See full document
201
Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
... the cost of the cheap tests or it can understate the cost of the expensive ...test. Based on past trials, GENESIS can find the lies that yield the best performance from ... See full document
41
Learning to improve medical decision making from imbalanced data without a priori cost
... the cost of misclassifying a minority sample as a majority sample is highly ...classification model based on imbalanced ...priori cost to adjust the learning process in the pursuit of optimal ... See full document
9
Cost-effectiveness of teriparatide compared with alendronate and risedronate for the treatment of postmenopausal osteoporosis patients in Iran
... the decision tree model was used for modeling the costs and effects including vertebral, wrist, and hip fracture reduction in one-year cycle and time horizon of 2 ...The cost analysis was ... See full document
8
A survey of cost sensitive decision tree induction algorithms
... develop decision trees and recognized that tests and misclassifications could have an economic impact on human decision ...accuracy based algorithm to take account of ...used cost-based ... See full document
35
CSNL: A cost sensitive non linear decision tree algorithm
... on decision tree learning is one of the major success stories of AI, with many commercial products, such as case based reasoning systems [Althoff et ...utilizing decision tree learning ... See full document
26
Cost-effectiveness analysis of antimuscarinics in the treatment of patients with overactive bladder in Spain: A decision-tree model
... into preference-based utility values for responders and non- responders ...generate preference-based utilities ...estimate preference-based utilities from the SF-36 ...culated ... See full document
11
Elliptical cost sensitive decision tree algorithm ECSDT
... is based on the least number of learning vectors in a node or homogeneity of a node) does not occur, then the recursive splitting will ...resultant tree is ...misclassification cost with the size of ... See full document
193
User preference tree based personalized online learning managment system
... learning based on “one size fits all” approach, tends to support only one educational model, because in a typical classroom situation, a teacher often has to deal with several students at the same ... See full document
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A Cost sensitive Decision Tree Optimized Algorithm Based on Adaptive Mechanism
... Design of the Cost-sensitive Decision Tree Algorithm Based on Adaptive Mechanism Determination of Optimal Heuristic Function In this paper, the heuristic function of CS-C4.5 is improved [r] ... See full document
6
Influence model of evasive decision makers
... we model an influence based problem for evasive or ”almost truthful” decision ...influence model already discussed in literature. However, if any decision makers’ opinions are farther ... See full document
17
The role of risk in IS/IT projects valuation : risk quantification and real options
... A real option can also be obtaining approval for certain project, like paying the fees to a telecommunication company to gain the exclusive right of installing a GSM tower. Here the real option gains its value from the ... See full document
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Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification
... with decision tree induction from big data as follows: building one big tree [2, 4, 11, 14, 17, 28–30, 32, 35, 41], transferring all decision trees into one rule base and back into a ... See full document
17
Zebrafish Larvae Classification based on Decision Tree Model: A Comparative Analysis
... Screening the abnormal development of the zebrafish embryos before and after being hatched for a large number of samples is always carried out manually. The manual process is presented as a tedious work and ... See full document
7
Preference-sensitive decisions of patients with metastatic breast cancer: The need for decision support
... with preference-sensitive decision points in the care ...of decision points: ‘participating in a scientific trial’, ‘dosing schedule’ and ‘method of administration’, ‘starting a treatment’, ... See full document
9
Role of honesty and confined interpersonal influence in modelling predilections
... social influence network involving a set of experts 𝐸 = {𝑒 1 , 𝑒 2 , . . . , 𝑒 𝑚 }. In (DeGroot, 1974) it is suggested that the weights 𝜔 𝑖1 , 𝜔 𝑖2 , . . . , 𝜔 𝑖𝑚 are directly chosen by the expert 𝑒 𝑖 before she has ... See full document
21
The Adaptability of Decision Tree Method in Mining Industry Safety Data
... Decision tree is an aged method in statistics and machine learning ...on decision tree induction are available in many data mining text books including [4], [5] and [10] ...of decision ... See full document
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