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» Evaluation of Ranking Accuracy in Multi-Criteria Decisions
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INFORMATICALT
2006
96views more  INFORMATICALT 2006»
13 years 5 months ago
Evaluation of Ranking Accuracy in Multi-Criteria Decisions
The paper analyses the problem of ranking accuracy in multiple criteria decision-making (MCDM) methods. The methodology for measuring the accuracy of determining the relative signi...
Edmundas Kazimieras Zavadskas, Algimantas Zakarevi...
CIKM
2009
Springer
13 years 11 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
AUSAI
2006
Springer
13 years 8 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan
DGO
2007
133views Education» more  DGO 2007»
13 years 6 months ago
A toolbox for the choice of indicator classes for ranking of watersheds
There has been considerable work on determining a suitable method to accomplish a satisfactory ordering of a group of objects, when there are multiple evaluation criteria. A weigh...
K. Sham Bhat
KDD
2007
ACM
177views Data Mining» more  KDD 2007»
14 years 5 months ago
Mining optimal decision trees from itemset lattices
We present DL8, an exact algorithm for finding a decision tree that optimizes a ranking function under size, depth, accuracy and leaf constraints. Because the discovery of optimal...
Élisa Fromont, Siegfried Nijssen