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» Optimizing Complex Loss Functions in Structured Prediction
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RECOMB
2005
Springer
16 years 1 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
15 years 2 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
15 years 2 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»
14 years 11 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»
15 years 1 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