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KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 6 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
TCOM
2011
155views more  TCOM 2011»
13 years 27 days ago
Asymptotically Optimal Model Estimation for Quantization
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
Alexey Ozerov, W. Bastiaan Kleijn
BMCBI
2004
134views more  BMCBI 2004»
13 years 5 months ago
Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)
Background: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature ...
Ricardo Z. N. Vêncio, Helena Brentani, Diogo...
CVPR
2004
IEEE
14 years 8 months ago
A GMM Parts Based Face Representation for Improved Verification through Relevance Adaptation
Motivated by the success of parts based representations in face detection we have attempted to address some of the problems associated with applying such a philosophy to the task ...
Simon Lucey, Tsuhan Chen
ISBI
2008
IEEE
14 years 6 months ago
Robust maximum likelihood estimation in Q-space MRI
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
Bennett A. Landman, Jonathan A. D. Farrell, Seth A...