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» Sampling Methods for Unsupervised Learning
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126
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NAACL
2010
15 years 15 days ago
Constraint-Driven Rank-Based Learning for Information Extraction
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...
121
Voted
CEC
2003
IEEE
15 years 8 months ago
Comparison of sampling sizes for the co-evolution of cooperative agents
Abstract -_The evolution of a heterogeneousteam behavior can he a very demanding task. In order to promote the greatest level of specialization team members should be evolved in se...
Gary B. Parker, H. Joseph Blumenthal
120
Voted
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 2 months ago
Discovering Classification from Data of Multiple Sources
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
Charles X. Ling, Qiang Yang
155
Voted
AVSS
2009
IEEE
15 years 6 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
143
Voted
PAMI
2010
192views more  PAMI 2010»
15 years 1 months ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
Carlos Alzate, Johan A. K. Suykens