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AAAI
2011

217views Intelligent Agents» more AAAI 2011»

Fast Newton-CG Method for Batch Learning of Conditional Random Fields

12 years 6 months ago

We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...

Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...

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28

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ICCV
2011
IEEE

218views Computer Vision» more ICCV 2011»

Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models

12 years 6 months ago

$Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models$

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We propose a novel way to induce a random ﬁeld from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by ﬁnding t...

George Papandreou, Alan L. Yuille

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26

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SIGIR
2011
ACM

217views Information Technology» more SIGIR 2011»

Learning online discussion structures by conditional random fields

12 years 9 months ago

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Online forum discussions are emerging as valuable information repository, where knowledge is accumulated by the interaction among users, leading to multiple threads with structure...

Hongning Wang, Chi Wang, ChengXiang Zhai, Jiawei H...

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11

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ICAART
2011
INSTICC

247views Intelligent Agents» more ICAART 2011»

Feature Induction of Linear-chain Conditional Random Fields - A Study based on a Simulation

12 years 9 months ago