1474 search results - page 43 / 295 » Using Machine Learning to Focus Iterative Optimization |
106
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
Although each iteration of the popular kMeans clustering heuristic scales well to larger problem sizes, it often requires an unacceptably-high number of iterations to converge to ...
132
Voted
KDD
2005
ACM
16 years 2 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
102
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Linear inverse problems are very common in signal and image processing. Many algorithms that aim at solving such problems include unknown parameters that need tuning. In this work...
110
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GECCO
2006
Springer
15 years 6 months ago
2006
Springer
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
113
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COLT
2008
Springer
15 years 4 months ago
2008
Springer
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...