1174 search results - page 80 / 235 » Boosting for transfer learning |
101
Voted
ISBI
2009
IEEE
15 years 7 months ago
2009
IEEE
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
99
Voted
ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
103
Voted
EMNLP
2009
14 years 10 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
112
Voted
JMLR
2012
13 years 3 months ago
2012
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
89
Voted
HICSS
2009
IEEE
15 years 7 months ago
2009
IEEE
We present a decision model of a firm’s optimal outsourcing rate as an extension of Cha et. al [1]’s previous work on the economic risk of knowledge loss and deskilling in the...