7519 search results - page 139 / 1504 » Optimizing Generic Functions |
170
Voted
EVOW
2006
Springer
15 years 8 months ago
2006
Springer
Many applications involve matching two graphs in order to identify their common features and compute their similarity. In this paper, we address the problem of computing a graph si...
140
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STACS
2007
Springer
15 years 11 months ago
2007
Springer
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
205
Voted
JMLR
2010
14 years 11 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
183
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GECCO
2009
Springer
15 years 2 months ago
2009
Springer
An iterated function f(x) is a function that when composed with itself, produces a given expression f(f(x))=g(x). Iterated functions are essential constructs in fractal theory and...
157
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GECCO
2010
Springer
15 years 7 months ago
2010
Springer
This paper describes the implementation and the results for CMA-EGS on the BBOB 2010 noiseless function testbed. The CMA-EGS is a hybrid strategy which combines elements from grad...