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ICML
2005
IEEE
14 years 8 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...
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
PLDI
2009
ACM
14 years 2 months ago
Staged information flow for javascript
Modern websites are powered by JavaScript, a flexible dynamic scripting language that executes in client browsers. A common paradigm in such websites is to include third-party Ja...
Ravi Chugh, Jeffrey A. Meister, Ranjit Jhala, Sori...
WAW
2004
Springer
178views Algorithms» more  WAW 2004»
14 years 27 days ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
ISLPED
2003
ACM
197views Hardware» more  ISLPED 2003»
14 years 24 days ago
Analyzing the energy consumption of security protocols
Security is critical to a wide range of wireless data applications and services. While several security mechanisms and protocols have been developed in the context of the wired In...
Nachiketh R. Potlapally, Srivaths Ravi, Anand Ragh...