Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

8

MDAI
2009
Springer

favoriteEmaildiscussreport

106views Artificial Intelligence» more MDAI 2009»

Using Conditional Random Fields for Decision-Theoretic Planning

13 years 11 months ago

Using Conditional Random Fields for Decision-Theoretic Planning

Download ftp.cs.rochester.edu

We propose a means of extending Conditional Random Field modeling to decision-theoretic planning where valuation is dependent upon fullyobservable factors. Representation is discussed, and a comparison with existing decision problem methodologies is presented. Included are exact and inexact message passing schemes for policy making, examples of decision making in practice, extensions to solving general decision problems, and suggestions for future use.

Paul A. Ardis, Christopher M. Brown

Real-time Traffic

Artificial Intelligence | Conditional Random Field | Decision Problem Methodologies | Decision Problems | MDAI 2009 |

claim paper

Related Content

» Correlated Action Effects in Decision Theoretic Regression

» Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines

» Maximum conditional likelihood linear regression and maximum a posteriori for hidden condi...

» ScaleInvariant Contour Completion Using Conditional Random Fields

» Accurate Information Extraction from Research Papers using Conditional Random Fields

» Document Image Segmentation Using a 2D Conditional Random Field Model

» Chunking Using Conditional Random Fields in Korean Texts

» Extraction of shoeprint patterns from impression evidence using Conditional Random Fields

» On the Use of Virtual Evidence in Conditional Random Fields

Post Info
More Details (n/a)

Added	27 May 2010
Updated	27 May 2010
Type	Conference
Year	2009
Where	MDAI
Authors	Paul A. Ardis, Christopher M. Brown

Comments (0)