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ICML
2006
IEEE
16 years 7 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
ICML
2004
IEEE
16 years 7 months ago
Margin based feature selection - theory and algorithms
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
Ran Gilad-Bachrach, Amir Navot, Naftali Tishby
ICML
1998
IEEE
16 years 7 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour
ISBI
2004
IEEE
16 years 7 months ago
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...
ACSC
2009
IEEE
16 years 1 months ago
Using Chronological Splitting to Compare Cross- and Single-company Effort Models: Further Investigation
Numerous studies have used historical datasets to build and validate models for estimating software development effort. Very few used a chronological split (where projects’ end ...
Chris Lokan, Emilia Mendes