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» Experimental Design for Variable Selection in Data Bases
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KDD
2004
ACM
170views Data Mining» more  KDD 2004»
16 years 7 months ago
Why collective inference improves relational classification
Procedures for collective inference make simultaneous statistical judgments about the same variables for a set of related data instances. For example, collective inference could b...
David Jensen, Jennifer Neville, Brian Gallagher
BIOTECHNO
2008
IEEE
16 years 1 months ago
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics
We use the data collected by the Lung Image Database Consortium (LIDC) for modeling the radiologists’ nodule interpretations based on image content of the nodule by using decisi...
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan ...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 27 days ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
ICRA
2006
IEEE
139views Robotics» more  ICRA 2006»
16 years 18 days ago
Adaptive Geometric Templates for Feature Matching
Robust motion recovery in tracking multiple targets using image features is affected by difficulties in obtaining good correspondences over long sequences. Difficulties are intr...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
DAC
2004
ACM
16 years 7 months ago
A SAT-based algorithm for reparameterization in symbolic simulation
Parametric representations used for symbolic simulation of circuits usually use BDDs. After a few steps of symbolic simulation, state set representation is converted from one para...
Pankaj Chauhan, Edmund M. Clarke, Daniel Kroening