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» On the generalization of soft margin algorithms
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NIPS
2003
13 years 10 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
JMLR
2010
144views more  JMLR 2010»
13 years 3 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 9 months ago
Clustering based large margin classification: a scalable approach using SOCP formulation
This paper presents a novel Second Order Cone Programming (SOCP) formulation for large scale binary classification tasks. Assuming that the class conditional densities are mixture...
J. Saketha Nath, Chiranjib Bhattacharyya, M. Naras...
ATAL
2008
Springer
13 years 11 months ago
A tractable and expressive class of marginal contribution nets and its applications
Coalitional games raise a number of important questions from the point of view of computer science, key among them being how to represent such games compactly, and how to efficien...
Edith Elkind, Leslie Ann Goldberg, Paul W. Goldber...
ATAL
2008
Springer
13 years 11 months ago
Distributed multiagent resource allocation in diminishing marginal return domains
We consider a multiagent resource allocation domain where the marginal production of each resource is diminishing. A set of identical, self-interested agents requires access to sh...
Yoram Bachrach, Jeffrey S. Rosenschein