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» Manifold-adaptive dimension estimation
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CORR
2010
Springer
109views Education» more  CORR 2010»
14 years 10 months ago
Polynomial Learning of Distribution Families
Abstract--The question of polynomial learnability of probability distributions, particularly Gaussian mixture distributions, has recently received significant attention in theoreti...
Mikhail Belkin, Kaushik Sinha
SIGMOD
1996
ACM
109views Database» more  SIGMOD 1996»
15 years 1 months ago
Improved Histograms for Selectivity Estimation of Range Predicates
Many commercial database systems maintain histograms to summarize the contents of relations and permit efficient estimation of query result sizes and access plan costs. Although s...
Viswanath Poosala, Yannis E. Ioannidis, Peter J. H...
DAC
1997
ACM
15 years 2 months ago
Power Macromodeling for High Level Power Estimation
A modeling approach is presented that captures the dependence of the power dissipation of a combinational logic circuit on its input output signal switching activity. The resulting...
Subodh Gupta, Farid N. Najm
ICASSP
2010
IEEE
14 years 10 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
AR
2008
118views more  AR 2008»
14 years 10 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada