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» Learning Word Representations from Relational Graphs
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144
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ICCS
2005
Springer
15 years 9 months ago
Analyzing Conflicts with Concept-Based Learning
A machine learning technique for handling scenarios of interaction between conflicting agents is suggested. Scenarios are represented by directed graphs with labeled vertices (for ...
Boris Galitsky, Sergei O. Kuznetsov, Mikhail V. Sa...
135
Voted
EMNLP
2006
15 years 5 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
143
Voted
CORR
2002
Springer
82views Education» more  CORR 2002»
15 years 3 months ago
Using eigenvectors of the bigram graph to infer morpheme identity
This paper describes the results of some experiments exploring statistical methods to infer syntactic categories from a raw corpus in an unsupervised fashion. It shares certain po...
Mikhail Belkin, John A. Goldsmith
CVPR
2008
IEEE
16 years 5 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
114
Voted
EMMCVPR
2007
Springer
15 years 7 months ago
An Automatic Portrait System Based on And-Or Graph Representation
Abstract. In this paper, we present an automatic human portrait system based on the And-Or graph representation. The system can automatically generate a set of life-like portraits ...
Feng Min, Jin-Li Suo, Song Chun Zhu, Nong Sang