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JMLR
2012
13 years 5 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
130
Voted
SIAMJO
2008
85views more  SIAMJO 2008»
15 years 3 months ago
Explicit Reformulations for Robust Optimization Problems with General Uncertainty Sets
We consider a rather general class of mathematical programming problems with data uncertainty, where the uncertainty set is represented by a system of convex inequalities. We prove...
Igor Averbakh, Yun-Bin Zhao
JMLR
2010
206views more  JMLR 2010»
14 years 10 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
BROADNETS
2004
IEEE
15 years 7 months ago
The Effects of the Sub-Carrier Grouping on Multi-Carrier Channel Aware Scheduling
Channel-aware scheduling and link adaptation (LA) methods are widely considered to be crucial for realizing high data rates in wireless networks. Multi-carrier systems that spread...
Fanchun Jin, Gokhan Sahin, Amrinder Arora, Hyeong-...
121
Voted
PAKDD
2004
ACM
96views Data Mining» more  PAKDD 2004»
15 years 8 months ago
Spectral Energy Minimization for Semi-supervised Learning
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...
Chun Hung Li, Zhi-Li Wu