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» Randomized splay trees: Theoretical and experimental results
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NIPS
2003
15 years 3 months ago
Self-calibrating Probability Forecasting
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...
Vladimir Vovk, Glenn Shafer, Ilia Nouretdinov
JMLR
2010
104views more  JMLR 2010»
14 years 8 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 2 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
INFOCOM
2010
IEEE
15 years 7 days ago
Exploiting Multiple-Antenna Diversity for Shared Secret Key Generation in Wireless Networks
—Generating a secret key between two parties by extracting the shared randomness in the wireless fading channel is an emerging area of research. Previous works focus mainly on si...
Kai Zeng, Daniel Wu, An Chan, Prasant Mohapatra
ICPR
2008
IEEE
15 years 8 months ago
Clustering by evidence accumulation on affinity propagation
If there are more clusters than the ideal, each intrinsic cluster will be split into several subsets. Theoretically, this split can be arbitrary and neighboring data points have a ...
Xuqing Zhang, Fei Wu, Yueting Zhuang