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» A New Approximate Maximal Margin Classification Algorithm
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COLT
2008
Springer
13 years 9 months ago
Linear Algorithms for Online Multitask Classification
We design and analyze interacting online algorithms for multitask classification that perform better than independent learners whenever the tasks are related in a certain sense. W...
Giovanni Cavallanti, Nicolò Cesa-Bianchi, C...
NIPS
2003
13 years 8 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
ICASSP
2010
IEEE
13 years 7 months ago
A comparison of approximate Viterbi techniques and particle filtering for data estimation in digital communications
We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
Steffen Barembruch
SIAMJO
2008
79views more  SIAMJO 2008»
13 years 7 months ago
A Class of Inexact Variable Metric Proximal Point Algorithms
For the problem of solving maximal monotone inclusions, we present a rather general class of algorithms, which contains hybrid inexact proximal point methods as a special case and ...
Lisandro A. Parente, Pablo A. Lotito, Mikhail V. S...
CIVR
2008
Springer
222views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Automatic image annotation via local multi-label classification
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
Mei Wang, Xiangdong Zhou, Tat-Seng Chua