9888 search results - page 235 / 1978 » Active Algorithm Selection |
151
click to vote
TCS
2011
14 years 10 months ago
2011
An active learner has a collection of data points, each with a label that is initially hidden but can be obtained at some cost. Without spending too much, it wishes to find a cla...
133
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
126
click to vote
CORR
2004
Springer
15 years 3 months ago
2004
Springer
1 In evolutionary algorithms a critical parameter that must be tuned is that of selection pressure. If it is set too low then the rate of convergence towards the optimum is likely...
126
click to vote
ISBI
2008
IEEE
16 years 4 months ago
2008
IEEE
Most clustering algorithms in fMRI analysis implicitly require some nontrivial assumption on data structure. Due to arbitrary distribution of fMRI time series in the temporal doma...
136
click to vote
FPGA
1995
ACM
15 years 6 months ago
1995
ACM
The future Large Hadron Collider (LHC) to be built at CERN1, by the turn of the millenium, provides an ample source of challenging real-time computational problems. We report here...