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Generalized iterative scaling
Known as:
GIS (disambiguation)
, Improved iterative scaling
In statistics, generalized iterative scaling (GIS) and improved iterative scaling (IIS) are two early algorithms used to fit log-linear models…
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Related topics
Related topics
8 relations
Algorithm
Conditional random field
Coordinate descent
Expectation–maximization algorithm
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Accelerating generalized iterative scaling using componentwise extrapolations for on-line conditional random fields
Hee-Deok Yang
,
Seong-Whan Lee
International Conference on Machine Learning and…
2010
Corpus ID: 26108895
In this paper, a simple and globally convergent method based on penalized generalized iterative scaling (GIS) with staggered…
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2009
2009
Automatic Single-Document Key Fact Extraction from Newswire Articles
Itamar Kastner
,
Christof Monz
Conference of the European Chapter of the…
2009
Corpus ID: 13406592
A novel recombinant DNA containing the base sequence shown in FIG. 1 or a portion thereof which exhibits promoter activity. The…
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2004
2004
Maximum entropy direct model as a unified model for acoustic modeling in speech recognition
H. Kuo
,
Yuqing Gao
Interspeech
2004
Corpus ID: 29661325
Traditional statistical models for speech recognition have been dominated by generative models such as Hidden Markov Models (HMMs…
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Highly Cited
2003
Highly Cited
2003
The Improved Iterative Scaling Algorithm A Gentle Introduction
A. Berger
2003
Corpus ID: 17269740
This note concerns the improved iterative scaling algorithm for computing maximum likelihood estimates of the parameters of…
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Highly Cited
2002
Highly Cited
2002
Sequential Conditional Generalized Iterative Scaling
Joshua Goodman
Annual Meeting of the Association for…
2002
Corpus ID: 7159337
We describe a speedup for training conditional maximum entropy models. The algorithm is a simple variation on Generalized…
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1999
1999
Statistical Inference and Probabilistic Modelling for Constraint-Based NLP
S. Riezler
arXiv.org
1999
Corpus ID: 60269
We present a probabilistic model for constraint-based grammars and a method for estimating the parameters of such models from…
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1998
1998
Statistical Inference for Probabilistic Constraint Logic Programming
Stefan Riezler Seminar F Ur Sprachwissenschaft
1998
Corpus ID: 7815831
Most approaches to probabilistic logic programming deal with deduction systems and xpoint semantics for programming systems with…
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Highly Cited
1998
Highly Cited
1998
A Maximum-Entropy Partial Parser for Unrestricted Text
Wojciech Skut
,
T. Brants
VLC@COLING/ACL
1998
Corpus ID: 3262500
This paper describes a partial parser that assigns syntactic structures to sequences of part-of-speech tags. The program uses the…
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Highly Cited
1997
Highly Cited
1997
Probabilistic Constraint Logic Programming
S. Riezler
arXiv.org
1997
Corpus ID: 5599296
This paper addresses two central problems for probabilistic processing models: parameter estimation from incomplete data and…
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Review
1996
Review
1996
Maximum Entropy Modeling Toolkit
E. Ristad
arXiv.org
1996
Corpus ID: 6734137
The Maximum Entropy Modeling Toolkit supports parameter estimation and prediction for statistical language models in the maximum…
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