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» Learning From Ambiguous Examples
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142
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SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
16 years 2 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
139
Voted
ARGMAS
2006
Springer
15 years 8 months ago
Arguments and Counterexamples in Case-Based Joint Deliberation
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Santiago Ontañón, Enric Plaza
ICML
2002
IEEE
16 years 5 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani
SIGIR
1997
ACM
15 years 9 months ago
Learning Routing Queries in a Query Zone
Word usage is domain dependent. A common word in one domain can be quite infrequent in another. In this study we exploit this property of word usage to improve document routing. W...
Amit Singhal, Mandar Mitra, Chris Buckley
ICDE
2003
IEEE
159views Database» more  ICDE 2003»
16 years 6 months ago
Scaling up the ALIAS Duplicate Elimination System
Duplicate elimination is an important stage in integrating data from multiple sources. The challenges involved are finding a robust deduplication function that can identify when t...
Sunita Sarawagi, Alok Kirpal