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» Generality Is Predictive of Prediction Accuracy
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JMLR
2012
13 years 9 months ago
Sample Complexity of Composite Likelihood
We present the first PAC bounds for learning parameters of Conditional Random Fields [12] with general structures over discrete and real-valued variables. Our bounds apply to com...
Joseph K. Bradley, Carlos Guestrin
IROS
2009
IEEE
214views Robotics» more  IROS 2009»
16 years 1 months ago
1-point RANSAC for EKF-based Structure from Motion
Abstract— Recently, classical pairwise Structure From Motion (SfM) techniques have been combined with non-linear global optimization (Bundle Adjustment, BA) over a sliding window...
Javier Civera, Oscar G. Grasa, Andrew J. Davison, ...
BMCBI
2008
87views more  BMCBI 2008»
15 years 6 months ago
Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information
Background: As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs), increases rapidly, computational method...
Jing Hu, Changhui Yan
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
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle