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» Learning Algorithms for Domain Adaptation
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SIGSOFT
2003
ACM
16 years 1 months ago
Bogor: an extensible and highly-modular software model checking framework
Model checking is emerging as a popular technology for reasoning about behavioral properties of a wide variety of software artifacts including: requirements models, architectural ...
Robby, Matthew B. Dwyer, John Hatcliff
ECML
2007
Springer
15 years 6 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
AAAI
2012
13 years 2 months ago
Manifold Warping: Manifold Alignment over Time
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
TCSV
2008
195views more  TCSV 2008»
15 years 13 days ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
89
Voted
CORR
2000
Springer
100views Education» more  CORR 2000»
15 years 10 days ago
Boosting Applied to Word Sense Disambiguation
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...
Gerard Escudero, Lluís Màrquez, Germ...