1707 search results - page 167 / 342 » A Boosting Algorithm for Regression |
144
Voted
KDD
2000
ACM
15 years 7 months ago
2000
ACM
Recent advances in functional brain imaging enable identication of active areas of a brain performing a certain function. Induction of logical formulas describing relations betwee...
131
Voted
TSP
2008
15 years 3 months ago
2008
We consider sequential regression of individual sequences under the square error loss. Using a competitive algorithm framework, we construct a sequential algorithm that can achieve...
161
Voted
MCS
2000
Springer
15 years 7 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
124
Voted
CASCON
2001
15 years 5 months ago
2001
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
127
Voted
IJCNN
2007
IEEE
15 years 10 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...