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Constrained conditional model

Known as: ILP4NLP, Integer Linear Programming applications for Natural Language Processing, CCM 
A constrained conditional model (CCM) is a machine learning and inference framework that augments the learning of conditional (probabilistic or… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
While predicting where people will look when viewing static scenes has been well-studied, a more challenging problem is to… 
2017
2017
In this paper, we propose a new method for estimation and constructing confidence intervals for low-dimensional components in a… 
2016
2016
In this technical note, constrained partially observable Markov decision processes with discrete state and action spaces under… 
2016
2016
Smoothed particle hydrodynamics (SPH) is a Lagrangian alternative to mesh-based schemes for simulating fluid flows in a wide… 
2012
2012
In this paper we propose a novel segmentation method that integrates prior shape knowledge obtained from a 3D statistical model… 
2012
2012
In the global navigation satellite systems (GNSS), the performance of GNSS is subject to various errors, such as ionosphere delay… 
2008
2008
In this paper we describe a novel technique for adaptation of Gaussian means. The technique is related to Maximum Likelihood… 
2005
2005
  • T. YinN. Chiu
  • 2005
  • Corpus ID: 34144167
Alzheimer's disease is a chronic degenerative disease of the central nervous system. Most common regional abnormalities for… 
2005
2005
In this paper, a characteristic-point-based fuzzy inference classifier (CPFIC) is proposed to perform two-class classification… 
2003
2003
This paper highlights three aspects in order to assist understanding of ethical entrepreneurship. First, it points out that…