Sciweavers

6 search results - page 1 / 2
» Iterative Scaling and Coordinate Descent Methods for Maximum...
Sort
View
JMLR
2010
128views more  JMLR 2010»
13 years 3 months ago
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
Maximum entropy (Maxent) is useful in natural language processing and many other areas. Iterative scaling (IS) methods are one of the most popular approaches to solve Maxent. With...
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih...
COMAD
2008
13 years 6 months ago
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Pratibha Rani, Vikram Pudi
ICML
2006
IEEE
14 years 5 months ago
Convex optimization techniques for fitting sparse Gaussian graphical models
We consider the problem of fitting a large-scale covariance matrix to multivariate Gaussian data in such a way that the inverse is sparse, thus providing model selection. Beginnin...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICASSP
2008
IEEE
13 years 11 months ago
A GIS-like training algorithm for log-linear models with hidden variables
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
Georg Heigold, Thomas Deselaers, Ralf Schlüte...
CORR
2011
Springer
190views Education» more  CORR 2011»
12 years 8 months ago
Doubly Robust Smoothing of Dynamical Processes via Outlier Sparsity Constraints
Abstract—Coping with outliers contaminating dynamical processes is of major importance in various applications because mismatches from nominal models are not uncommon in practice...
Shahrokh Farahmand, Georgios B. Giannakis, Daniele...