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Constrained conditional model
Known as:
ILP4NLP
, Integer Linear Programming applications for Natural Language Processing
, CCM
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A constrained conditional model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or…
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Related topics
Related topics
6 relations
Feature engineering
Markov logic network
Natural language processing
Semantic role labeling
Broader (2)
Machine learning
Structured prediction
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
From Coarse Attention to Fine-Grained Gaze: A Two-stage 3D Fully Convolutional Network for Predicting Eye Gaze in First Person Video
Zehua Zhang
,
David J. Crandall
,
Chen Yu
,
S. Bambach
British Machine Vision Conference
2018
Corpus ID: 51788424
While predicting where people will look when viewing static scenes has been well-studied, a more challenging problem is to…
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2017
2017
Statistical inference for high dimensional regression via Constrained Lasso
Yun Yang
2017
Corpus ID: 88522546
In this paper, we propose a new method for estimation and constructing confidence intervals for low-dimensional components in a…
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2016
2016
Finding Optimal Observation-Based Policies for Constrained POMDPs Under the Expected Average Reward Criterion
Xiaofeng Jiang
,
H. Xi
,
Xiaodong Wang
,
Falin Liu
IEEE Transactions on Automatic Control
2016
Corpus ID: 5018056
In this technical note, constrained partially observable Markov decision processes with discrete state and action spaces under…
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2016
2016
Scalable rendering of large SPH simulations using an RK-enhanced interpolation scheme on constrained datasets
K. Griffin
,
C. Raskin
IEEE Symposium on Large Data Analysis and…
2016
Corpus ID: 7972536
Smoothed particle hydrodynamics (SPH) is a Lagrangian alternative to mesh-based schemes for simulating fluid flows in a wide…
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2012
2012
Using a flexibility constrained 3D statistical shape model for robust MRF-based segmentation
T. Majeed
,
K. Fundana
,
M. Lüthi
,
Silja Kiriyanthan
,
J. Beinemann
,
P. Cattin
IEEE Workshop on Mathematical Methods in…
2012
Corpus ID: 8162066
In this paper we propose a novel segmentation method that integrates prior shape knowledge obtained from a 3D statistical model…
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2012
2012
Performance analysis of dual-frequency range estimation methods in the presence of ionospheric and multipath propagation effects
Jie Zhang
,
D. Skournetou
,
E. Lohan
,
Wei Wang
,
S. Sand
International Conference on Localization and…
2012
Corpus ID: 43997289
In the global navigation satellite systems (GNSS), the performance of GNSS is subject to various errors, such as ionosphere delay…
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2008
2008
XMLLR for improved speaker adaptation in speech recognition
Daniel Povey
,
H. Kuo
Interspeech
2008
Corpus ID: 5769859
In this paper we describe a novel technique for adaptation of Gaussian means. The technique is related to Maximum Likelihood…
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2005
2005
Fuzzy Patterns and Classification of Functional Brain Images for the Diagnosis of Alzheimer's Disease
T. Yin
,
N. Chiu
The 14th IEEE International Conference on Fuzzy…
2005
Corpus ID: 34144167
Alzheimer's disease is a chronic degenerative disease of the central nervous system. Most common regional abnormalities for…
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2005
2005
A Characteristic-Point-Based Fuzzy Inference Classifier by a Closeness Matrix
T. Yin
IEEE transactions on fuzzy systems
2005
Corpus ID: 8907152
In this paper, a characteristic-point-based fuzzy inference classifier (CPFIC) is proposed to perform two-class classification…
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2003
2003
TOWARDS NEW UNDERSTANDING OF THE ETHICAL DIMENSIONS OF ENTREPRENEURSHIP
C. Moore
,
C. Moore
2003
Corpus ID: 2936434
This paper highlights three aspects in order to assist understanding of ethical entrepreneurship. First, it points out that…
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