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DIAGRAMS
2004
Springer
15 years 3 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
IV
2002
IEEE
88views Visualization» more  IV 2002»
15 years 3 months ago
Visualizing Spatially Varying Distribution Data
Box plot is a compact representation that encodes the minimum, maximum, mean, median, and quartile information of a distribution. In practice, a single box plot is drawn for each ...
David T. Kao, Alison Luo, Jennifer L. Dungan, Alex...
PLDI
1995
ACM
15 years 1 months ago
APT: A Data Structure for Optimal Control Dependence Computation
The control dependence relation is used extensively in restructuring compilers. This relation is usually represented using the control dependence graph; unfortunately, the size of...
Keshav Pingali, Gianfranco Bilardi
68
Voted
ISMB
1993
14 years 11 months ago
Probabilistic Structure Calculations: A Three-Dimensional tRNA Structure from Sequence Correlation Data
Algorithmsbasedonprobability theorycanaddressissues of uncertainty directly throughtheir representational frameworkandtheir theoryfor data combination.In this paper, wediscuss the...
Russ B. Altman
CVIU
2007
149views more  CVIU 2007»
14 years 10 months ago
A volumetric fusion technique for surface reconstruction from silhouettes and range data
Optical triangulation, an active reconstruction technique, is known to be an accurate method but has several shortcomings due to occlusion and laser reflectance properties of the...
Yücel Yemez, C. J. Wetherilt