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NIPS
1994
15 years 8 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
16 years 7 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
16 years 7 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
16 years 6 days ago
Adaptive Online Time Allocation to Search Algorithms
Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schm...
COLT
2003
Springer
16 years 1 days ago
Efficient Algorithms for Online Decision Problems
Adam Kalai, Santosh Vempala