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» Learning Determinantal Point Processes
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CVPR
2012
IEEE
11 years 11 months ago
Scalable k-NN graph construction for visual descriptors
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, R...
ACML
2009
Springer
14 years 3 months ago
Conditional Density Estimation with Class Probability Estimators
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
Eibe Frank, Remco R. Bouckaert
ICDM
2003
IEEE
102views Data Mining» more  ICDM 2003»
14 years 2 months ago
Bootstrapping Rule Induction
Most rule learning systems posit hard decision boundaries for continuous attributes and point estimates of rule accuracy, with no measures of variance, which may seem arbitrary to ...
Lemuel R. Waitman, Douglas H. Fisher, Paul H. King
EWRL
2008
13 years 10 months ago
New Error Bounds for Approximations from Projected Linear Equations
We consider linear fixed point equations and their approximations by projection on a low dimensional subspace. We derive new bounds on the approximation error of the solution, whi...
Huizhen Yu, Dimitri P. Bertsekas
AIED
2005
Springer
14 years 2 months ago
THESPIAN: An Architecture for Interactive Pedagogical Drama
Interactive drama is increasingly being used as a pedagogical tool in a wide variety of computer-based learning environments. However, the effort required to build interactive dram...
Mei Si, Stacy C. Marsella, David V. Pynadath