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» Learning from labeled and unlabeled data on a directed graph
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ICML
2009
IEEE
16 years 19 days ago
Prototype vector machine for large scale semi-supervised learning
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Kai Zhang, James T. Kwok, Bahram Parvin
TOG
2002
167views more  TOG 2002»
14 years 11 months ago
Interactive control of avatars animated with human motion data
Real-time control of three-dimensional avatars is an important problem in the context of computer games and virtual environments. Avatar animation and control is difficult, howeve...
Jehee Lee, Jinxiang Chai, Paul S. A. Reitsma, Jess...
SEMWEB
2004
Springer
15 years 5 months ago
Bipartite Graphs as Intermediate Model for RDF
Abstract. RDF Graphs are sets of assertions in the form of subjectpredicate-object triples of information resources. Although for simple examples they can be understood intuitively...
Jonathan Hayes, Claudio Gutiérrez
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 6 days ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
ACL
2012
13 years 2 months ago
Named Entity Disambiguation in Streaming Data
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
Alexandre Davis, Adriano Veloso, Altigran Soares d...