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» Experimental Design for Variable Selection in Data Bases
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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 10 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
NECO
1998
119views more  NECO 1998»
15 years 5 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi
VLDB
1998
ACM
134views Database» more  VLDB 1998»
15 years 10 months ago
Design, Implementation, and Performance of the LHAM Log-Structured History Data Access Method
Numerous applications such as stock market or medical information systems require that both historical and current data be logically integrated into a temporal database. The under...
Peter Muth, Patrick E. O'Neil, Achim Pick, Gerhard...
BMCBI
2008
155views more  BMCBI 2008»
15 years 6 months ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
PRL
2011
14 years 8 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...