1174 search results - page 124 / 235 » Boosting for transfer learning |
102
Voted
IJCNN
2007
IEEE
15 years 7 months ago
2007
IEEE
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
110
Voted
COLT
2000
Springer
15 years 4 months ago
2000
Springer
In this paper we examine master regression algorithms that leverage base regressors by iteratively calling them on modified samples. The most successful leveraging algorithm for c...
104
Voted
ML
2002
ACM
15 years 10 days ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
120
Voted
AAAI
2011
14 years 21 days ago
2011
We describe a robot system that autonomously acquires skills through interaction with its environment. The robot learns to sequence the execution of a set of innate controllers to...
59
Voted
PKDD
2005
Springer
15 years 6 months ago
2005
Springer
In most of the learning algorithms, examples in the training set are treated equally. Some examples, however, carry more reliable or critical information about the target than the ...