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» Optimizing Complex Loss Functions in Structured Prediction
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RECOMB
2005
Springer
14 years 9 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
ICONIP
2007
13 years 10 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
NIPS
2007
13 years 10 months ago
New Outer Bounds on the Marginal Polytope
We give a new class of outer bounds on the marginal polytope, and propose a cutting-plane algorithm for efficiently optimizing over these constraints. When combined with a concav...
David Sontag, Tommi Jaakkola
ICC
2009
IEEE
101views Communications» more  ICC 2009»
13 years 6 months ago
Using Limited Feedback in Power Allocation Design for a Two-Hop Relay OFDM System
In this paper, we study power allocation (PA) in a single-relay OFDM system with limited feedback. We propose a PA scheme that uses a codebook of quantized PA vectors designed offl...
Mahdi Hajiaghayi, Min Dong, Ben Liang
IJHPCA
2007
88views more  IJHPCA 2007»
13 years 9 months ago
Scaling Properties of Common Statistical Operators for Gridded Datasets
An accurate cost-model that accounts for dataset size and structure can help optimize geoscience data analysis. We develop and apply a computational model to estimate data analysi...
Charles S. Zender, Harry Mangalam