CORR
2011
Springer
12 years 11 months ago
2011
Springer
The AdaBoost algorithm was designed to combine many “weak” hypotheses that perform slightly better than random guessing into a “strong” hypothesis that has very low error....
TSP
2010
13 years 2 months ago
2010
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We develop an online algorithm called Component Hedge for learning structured concept classes when the loss of a structured concept sums over its components. Example classes inclu...