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APPML
2002
89views more  APPML 2002»
15 years 6 months ago
Average sampling in spline subspaces
Let V () be a shift invariant subspace of L2 (R) generated by a Riesz or frame generator (t) in L2 (R). We assume that (t) is suitably chosen so that the regular sampling expansio...
Wenchang Sun, Xingwei Zhou
TIT
1998
63views more  TIT 1998»
15 years 6 months ago
On the Consistency of Minimum Complexity Nonparametric Estimation
— Nonparametric estimation is usually inconsistent without some form of regularization. One way to impose regularity is through a prior measure. Barron and Cover [1], [2] have sh...
Zhiyi Chi, Stuart Geman
EMNLP
2011
14 years 6 months ago
Structured Sparsity in Structured Prediction
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...
André F. T. Martins, Noah A. Smith, M&aacut...
ICDM
2003
IEEE
135views Data Mining» more  ICDM 2003»
15 years 11 months ago
An Algorithm for the Exact Computation of the Centroid of Higher Dimensional Polyhedra and its Application to Kernel Machines
The Support Vector Machine (SVM) solution corresponds to the centre of the largest sphere inscribed in version space. Alternative approaches like Bayesian Point Machines (BPM) and...
Frédéric Maire
ICPR
2010
IEEE
15 years 9 months ago
Localized Multiple Kernel Regression
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
Mehmet Gönen, Ethem Alpaydin