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JMLR
2010
128views more  JMLR 2010»
13 years 6 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...
ICASSP
2008
IEEE
14 years 2 months ago
Maximum entropy relaxation for multiscale graphical model selection
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICTAI
2007
IEEE
14 years 2 months ago
A Probabilistic Substructure-Based Approach for Graph Classification
The classification of graph based objects is an important challenge from a knowledge discovery standpoint and has attracted considerable attention recently. In this paper, we pres...
H. D. K. Moonesinghe, Hamed Valizadegan, Samah Jam...
EMNLP
2004
13 years 9 months ago
NP Bracketing by Maximum Entropy Tagging and SVM Reranking
We perform Noun Phrase Bracketing by using a local, maximum entropy-based tagging model, which produces bracketing hypotheses. These hypotheses are subsequently fed into a reranki...
Hal Daumé III, Daniel Marcu
SIGIR
2005
ACM
14 years 1 months ago
The maximum entropy method for analyzing retrieval measures
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs....
Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu