搜索结果: 1-7 共查到“计算机科学技术 Belief”相关记录7条 . 查询时间(0.057 秒)
Structured Learning for Taxonomy Induction with Belief Propagation
Structured Learning Taxonomy Induction Belief Propagation
2016/1/22
We present a structured learning approach to inducing hypernym taxonomies using a probabilistic graphical model formulation.Our model incorporates heterogeneous re-lational evidence about both hyperny...
From Uncertainty to Belief:Inferring the Specification Within
Uncertainty Belief Inferring the Specification Within
2015/8/7
Automatic tools for finding software errors require a set of specifications before they can check code: if they do not know what to check, they cannot find bugs. This paper presents a novel framework ...
Scaling MCMC Inference and Belief Propagation to Large, Dense Graphical Models
machine learning graphical models
2014/12/18
With the physical constraints of semiconductor-based electronics becoming increasingly limiting in the past decade, single-core CPUs have given way to multi-core and distributed computing platforms. A...
Mispronunciation Detection via Dynamic Time Warping on Deep Belief Network-Based Posteriorgrams
mispronunciation detection dynamic time warping deep belief networks
2014/11/27
In this paper, we explore the use of deep belief network (DBN) posteriorgrams as input to our previously proposed comparison-based system for detecting word-level mispronunciation. The system works by...
Hopfield and Hebbian Models of Belief Polarization: Neural Networks, Social Contexts
Hopfield and Hebbian Models Belief Polarization Neural Networks Social Contexts
2014/8/8
In this paper, the authors develop two models of belief po-larization on signed social networks. First, we consider a Hop eld net-work model for opinion polarization. Although Hop eld networks were or...
Adaptive Image Deblurring via Tanner Graph Representation and Belief Propagation
Adaptive Representation Belief Propagation
2013/7/24
Image deblurring aims to counteract the effect of point spread function (PSF) inimperfect image formation system. Conventional solutions include frequency-domainapproaches (e.g. Wiener filtering...
Multimodal Belief Fusion for Face and Ear Biometrics
multimodal biometrics gabor wavelet filter gaussian mixture model belief theory face ear
2013/1/29
This paper proposes a multimodal biometric system through Gaussian Mixture Model (GMM) for face and ear biometrics with belief fusion of the estimated scores characterized by Gabor responses and the p...