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» Rademacher Margin Complexity
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JMLR
2010
106views more  JMLR 2010»
13 years 2 months ago
Improving posterior marginal approximations in latent Gaussian models
We consider the problem of correcting the posterior marginal approximations computed by expectation propagation and Laplace approximation in latent Gaussian models and propose cor...
Botond Cseke, Tom Heskes
SIGECOM
2005
ACM
153views ECommerce» more  SIGECOM 2005»
14 years 28 days ago
Marginal contribution nets: a compact representation scheme for coalitional games
We present a new approach to representing coalitional games based on rules that describe the marginal contributions of the agents. This representation scheme captures characterist...
Samuel Ieong, Yoav Shoham
GBRPR
2007
Springer
13 years 11 months ago
Image Classification Using Marginalized Kernels for Graphs
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
Emanuel Aldea, Jamal Atif, Isabelle Bloch
CVPR
2009
IEEE
15 years 2 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
ICML
2005
IEEE
14 years 8 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III