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NIPS
1994
14 years 11 months ago
On-line Learning of Dichotomies
The performance of on-line algorithms for learning dichotomies is studied. In on-line learning, the number of examples P is equivalent to the learning time, since each example is ...
N. Barkai, H. Sebastian Seung, Haim Sompolinsky
ICML
2007
IEEE
15 years 10 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
ICML
2004
IEEE
15 years 10 months ago
Multi-task feature and kernel selection for SVMs
We compute a common feature selection or kernel selection configuration for multiple support vector machines (SVMs) trained on different yet inter-related datasets. The method is ...
Tony Jebara
ECML
2004
Springer
15 years 3 months ago
Adaptive Online Time Allocation to Search Algorithms
Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schm...
COLT
2003
Springer
15 years 3 months ago
Efficient Algorithms for Online Decision Problems
Adam Kalai, Santosh Vempala