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» Generalization Error Bounds Using Unlabeled Data
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ACL
2009
13 years 6 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
ICML
2004
IEEE
14 years 9 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
13 years 9 months ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel
SI3D
1999
ACM
14 years 24 days ago
GAPS: general and automatic polygonal simplification
We present a new approach for simplifying polygonal objects. Our method is general in that it works on models that contain both non-manifold geometry and surface attributes. It is...
Carl Erikson, Dinesh Manocha
RECOMB
2009
Springer
14 years 9 months ago
COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study
The availability of high density single nucleotide polymorphisms (SNPs) data has made genome-wide association study computationally challenging. Twolocus epistasis (gene-gene inter...
Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wa...