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ICML
2005
IEEE
16 years 7 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
WWW
2009
ACM
16 years 7 months ago
Data quality in web archiving
Web archives preserve the history of Web sites and have high long-term value for media and business analysts. Such archives are maintained by periodically re-crawling entire Web s...
Marc Spaniol, Dimitar Denev, Arturas Mazeika, Gerh...
CAV
2009
Springer
165views Hardware» more  CAV 2009»
16 years 7 months ago
Symbolic Counter Abstraction for Concurrent Software
Counter Abstraction for Concurrent Software G?erard Basler1 , Michele Mazzucchi1 , Thomas Wahl1,2 , Daniel Kroening1,2 1 Computer Systems Institute, ETH Zurich, Switzerland 2 Compu...
Daniel Kroening, Gérard Basler, Michele Maz...
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 7 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
SIGMOD
2009
ACM
197views Database» more  SIGMOD 2009»
16 years 7 months ago
Secure kNN computation on encrypted databases
Service providers like Google and Amazon are moving into the SaaS (Software as a Service) business. They turn their huge infrastructure into a cloud-computing environment and aggr...
Wai Kit Wong, David Wai-Lok Cheung, Ben Kao, Nikos...
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