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IDA
2002
Springer
15 years 6 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
COLT
2005
Springer
16 years 3 days ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum
APSEC
2002
IEEE
15 years 11 months ago
A Predictive Performance Model to Evaluate the Contention Cost in Application Servers
In multi-tier enterprise systems, application servers are key components to implement business logic and provide services. To support a large number of simultaneous accesses from ...
Shiping Chen, Ian Gorton
SGP
2007
15 years 9 months ago
Dynamic geometry registration
We propose an algorithm that performs registration of large sets of unstructured point clouds of moving and deforming objects without computing correspondences. Given as input a s...
Niloy J. Mitra, Simon Flöry, Maks Ovsjanikov,...
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 7 months ago
An EDA based on local markov property and gibbs sampling
The key ideas behind most of the recently proposed Markov networks based EDAs were to factorise the joint probability distribution in terms of the cliques in the undirected graph....
Siddhartha Shakya, Roberto Santana