175 search results - page 11 / 35 » Parameter space exploration with Gaussian process trees |
RTS
2006
13 years 7 months ago
2006
Abstract The increasing complexity of heterogeneous systems-on-chip, SoC, and distributed embedded systems makes system optimization and exploration a challenging task. Ideally, a ...
UAI
1996
13 years 8 months ago
1996
Many algorithms for processing probabilistic networks are dependent on the topological properties of the problem's structure. Such algorithmse.g., clustering, conditioning ar...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
CIE
2007
Springer
14 years 1 months ago
2007
Springer
In the framework of parameterized complexity, exploring how one parameter affects the complexity of a different parameterized (or unparameterized problem) is of general interest....
JMLR
2002
13 years 7 months ago
2002
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...