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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.
2016
2016
RATCLIFF'S GENERALIZED ITERATIVE SCALING'
I. Csiszár
2016
Corpus ID: 123760251
2016
2016
International Arab Conference on Information Technology ( ACIT ' 2016 ) Word Boundary Detection in Tifinagh using MaxEnt and n-gram algorithms
Mohamed Biniz
,
R. Ayachi
,
M. Fakir
2016
Corpus ID: 28385361
This article proposes the use of Maximum Entropy and n-gram algorithms for the automatic segmentation of words in Tifinagh.The…
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2012
2012
The Research on Improved Iterative Control Algorithm for Maximum Entropy Model in Electronic Technology
Wei Yongqin
,
Guo Yin-jing
,
Wu Na
,
Zhang Rui
2012
Corpus ID: 60372362
In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an…
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2012
2012
INFORMATIK BERICHTE 363 – 04 / 2012 A Generalized Iterative Scaling Algorithm for Maximum Entropy Reasoning in Relational Probabilistic Conditional Logic Under Aggregation
Marc Finthammer
2012
Corpus ID: 4533113
Recently, different semantics for relational probabilistic conditionals and corresponding maximum entropy (ME) inference…
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2010
2010
Discriminative training and acoustic modeling for automatic speech recognition
Wolfgang Macherey
2010
Corpus ID: 22605033
Discriminative training has become an important means for estimating model parameters in many statistical pattern recognition…
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2006
2006
MAXIMUM ENTROPY AND IMPROVED ITERATIVE SCALING FOR CLASSIFICATION ON MIXED SPACES, ENSEMBLE CLASSIFICATION AND EXTENSIONS.
S. Pal
2006
Corpus ID: 126132227
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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Review
2003
Review
2003
Why Build Another Part-of-Speech Tagger ? A Minimalist Approach
L. Peshkin
2003
Corpus ID: 14427094
We use a Dynamic Bayesian Network (DBN) to build a compact representation of the features relevant to Part-of-Speech (PoS…
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Review
1996
Review
1996
Convexity, Maximum Likelihood and All That
A. Berger
1996
Corpus ID: 17997794
This note is meant as a gentle but comprehensive introduction to the expectation-maximization (EM) and improved iterative scaling…
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1995
1995
Gibbs-markov Models
J. Lafferty
1995
Corpus ID: 16343364
In this paper we present a framework for building prob-abilistic automata parameterized by context-dependent probabilities. Gibbs…
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