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» Predictive Discretization During Model Selection
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DAGM
2004
Springer
13 years 10 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
ETRA
2006
ACM
114views Biometrics» more  ETRA 2006»
13 years 10 months ago
Causal saliency effects during natural vision
Salient stimuli, such as color or motion contrasts, attract human attention, thus providing a fast heuristic for focusing limited neural resources on behaviorally relevant sensory...
Ran Carmi, Laurent Itti
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
13 years 8 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
WSC
2000
13 years 6 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
ESE
2002
112views Database» more  ESE 2002»
13 years 4 months ago
An Empirical Method for Selecting Software Reliability Growth Models
Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a v...
Catherine Stringfellow, Anneliese Amschler Andrews