Which is More Suitable for Chinese Word Segmentation, the Generative Model or the Discriminative One? ∗ F a

Source URL: aclweb.org

• Machine learning
• Artificial intelligence
• Learning
• Computational linguistics
• Language modeling
• Natural language processing
• Statistical natural language processing
• N-gram
• Bigram
• Generative model
• Language model
• Pattern recognition

To Appear in ICB2013 A Generative Model for Fingerprint Minutiae Qijun Zhao, Yi Zhang Sichuan University

Source URL: www.cse.msu.edu

INDEPENDENT COMPONENT ANALYSIS APPLIED TO fMRI DATA: A GENERATIVE MODEL FOR VALIDATING RESULTS V. Calhoun1,2, T. Adali,2 and G. Pearlson1 Johns Hopkins University Division of Psychiatric Neuro-Imaging, 600 N. Wolfe St.,

Source URL: www.nrc-iol.org

A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields

Source URL: yuxng.github.io

A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models Brendan J. Frey and Nebojsa Jojic Abstract Computer vision is currently one of the most exciting areas of artificial intelligence re

Source URL: www.isit2004.org

• Statistics
• Statistical models
• Probability
• Graphical models
• Machine learning
• Statistical theory
• Bayesian statistics
• Markov random field
• Bayesian network
• Generative model
• Factor graph
• Discriminative model

Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013

Source URL: www.cs.toronto.edu

• Artificial neural networks
• Restricted Boltzmann machine
• Boltzmann machine
• Autoencoder
• Backpropagation
• Feedforward neural network
• Generative model
• Connectionism
• Supervised learning
• Graphical model
• Machine learning
• Hidden Markov model

J. McCormack: "A Developmental Model for Generative Media", in M. S. Capcarrere, A. A. Freitas, P. J. Bentley, C. G. Johnson and J. Timmis (eds),Proceedings of the 8th European Conf. on Advances in Artificial Life, (ECAL

Source URL: www.csse.monash.edu.au

Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model Ivan Titov University of Geneva 24, rue G´en´eral Dufour CH-1211 Gen`eve 4, Switzerland

Source URL: cui.unige.ch

In Proc. International Conference on Parsing Technologies (IWPTFunded by Swiss NSF grant, UK EPSRC grant EP/E019501/1, and EU FP6 project TALK. A Latent Variable Model for Generative Dependency Pars

Source URL: cui.unige.ch

A new generative model for sounds: The Gaussian Modulation Cascade Process Richard Turner () Maneesh Sahani () Gatsby Computational Neuroscience Unit,

Source URL: www.gatsby.ucl.ac.uk