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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...
PPOPP
2009
ACM
16 years 7 months ago
Detecting and tolerating asymmetric races
Because data races represent a hard-to-manage class of errors in concurrent programs, numerous approaches to detect them have been proposed and evaluated. We specifically consider...
Paruj Ratanaworabhan, Martin Burtscher, Darko Kiro...
SPAA
2009
ACM
16 years 7 months ago
Towards transactional memory semantics for C++
Transactional memory (TM) eliminates many problems associated with lock-based synchronization. Over recent years, much progress has been made in software and hardware implementati...
Tatiana Shpeisman, Ali-Reza Adl-Tabatabai, Robert ...
PODC
2009
ACM
16 years 7 months ago
Preventing versus curing: avoiding conflicts in transactional memories
Transactional memories are typically speculative and rely on contention managers to cure conflicts. This paper explores a complementary approach that prevents conflicts by schedul...
Aleksandar Dragojevic, Rachid Guerraoui, Anmol V. ...
KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 7 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
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