75 search results - page 14 / 15 » A general regression technique for learning transductions |
KDD
2004
ACM
14 years 5 months ago
2004
ACM
"Inside information" comes in many forms: knowledge of a corporate takeover, a terrorist attack, unexpectedly poor earnings, the FDA's acceptance of a new drug, etc...
HIS
2004
13 years 6 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
KDD
2009
ACM
13 years 9 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
DAC
2005
ACM
13 years 6 months ago
2005
ACM
The need to reuse the performance macromodels of an analog circuit topology challenges existing regression based modeling techniques. A model of good reusability should have a num...