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» Kernels and Regularization on Graphs
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ICML
2009
IEEE
16 years 19 days ago
Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
Linli Xu, Martha White, Dale Schuurmans
MICCAI
2009
Springer
15 years 6 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
SIGMETRICS
1998
ACM
15 years 4 months ago
Modeling Set Associative Caches Behavior for Irregular Computations
While much work has been devoted to the study of cache behavior during the execution of codes with regular access patterns, little attention has been paid to irregular codes. An i...
Basilio B. Fraguela, Ramon Doallo, Emilio L. Zapat...
AAAI
2008
15 years 2 months ago
Multi-View Local Learning
The idea of local learning, i.e., classifying a particular example based on its neighbors, has been successfully applied to many semi-supervised and clustering problems recently. ...
Dan Zhang, Fei Wang, Changshui Zhang, Tao Li
EMNLP
2008
15 years 1 months ago
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms
Bootstrapping has a tendency, called semantic drift, to select instances unrelated to the seed instances as the iteration proceeds. We demonstrate the semantic drift of bootstrapp...
Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Ma...