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GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
15 years 9 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
136
Voted
VTC
2010
IEEE
138views Communications» more  VTC 2010»
15 years 3 months ago
Impact of User Selection Criteria on Performance of MIMO Detectors in Multiuser Systems
—In this paper, we consider user selection criteria for various multiple input multiple output (MIMO) detectors to exploit the multiuser diversity. It is shown that the user sele...
Jinho Choi, Fumiyuki Adachi
BIS
2011
289views Business» more  BIS 2011»
14 years 4 months ago
Advanced Resource Selection for Federated Enterprise Search
Distributed information retrieval is a well-known approach for accessing heterogeneous, highly autonomous sources of unstructured information. Selecting and querying only a number ...
Matthias Wauer, Daniel Schuster, Alexander Schill
ICML
2003
IEEE
16 years 5 months ago
Online Feature Selection using Grafting
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
Simon Perkins, James Theiler
CHI
2008
ACM
16 years 5 months ago
Intelligent object group selection
Current object group selection techniques such as lasso or rectangle selection can be time consuming and error prone. This is apparent when selecting distant objects on a large di...
Hoda Dehmeshki, Wolfgang Stürzlinger