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PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
15 years 2 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
128
Voted
COLT
2001
Springer
15 years 8 months ago
Ultraconservative Online Algorithms for Multiclass Problems
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Koby Crammer, Yoram Singer
121
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Robust adaptive beamforming using sequential quadratic programming
In this paper, a new algorithm for robust adaptive beamforming is developed. The basic idea of the proposed algorithm is to estimate the difference between the actual and presumed...
Aboulnasr Hassanien, Sergiy A. Vorobyov, Kon Max W...
IPPS
2005
IEEE
15 years 9 months ago
Reliability-Conscious Process Scheduling under Performance Constraints in FPGA-Based Embedded Systems
This paper proposes, for the FPGA-based embedded systems, a reliability-aware process scheduling strategy that operates under performance bounds. A unique characteristic of the pr...
Guilin Chen, Mahmut T. Kandemir, Suleyman Tosun, U...
118
Voted
ICML
2009
IEEE
16 years 4 months ago
A simpler unified analysis of budget perceptrons
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
Ilya Sutskever