Importance sampling-based estimation over AND/OR search spaces for graphical models

&
Artificial Intelligence 184-185 (C):38-77 (2012)
  Copy   BIBTEX

Abstract

This article has no associated abstract. (fix it)

Categories

Keywords

Reprint years

DOI

10.1016/j.artint.2012.03.001

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,347

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

AND/OR search spaces for graphical models.Rina Dechter & Robert Mateescu - 2007 - Artificial Intelligence 171 (2-3):73-106.
SampleSearch: Importance sampling in presence of determinism.Vibhav Gogate & Rina Dechter - 2011 - Artificial Intelligence 175 (2):694-729.
Memory intensive AND/OR search for combinatorial optimization in graphical models.Radu Marinescu & Rina Dechter - 2009 - Artificial Intelligence 173 (16-17):1492-1524.
AND/OR Branch-and-Bound search for combinatorial optimization in graphical models.Radu Marinescu & Rina Dechter - 2009 - Artificial Intelligence 173 (16-17):1457-1491.
Unifying tree decompositions for reasoning in graphical models.Kalev Kask, Rina Dechter, Javier Larrosa & Avi Dechter - 2005 - Artificial Intelligence 166 (1-2):165-193.
Theory Unification and Graphical Models in Human Categorization.David Danks - 2010 - Causal Learning:173--189.
The Economics of Search.Brian Patrick McCall & John Joseph McCall - 2003 - Routledge.
Unifying the mind: Cognitive Representations as Graphical Models. [REVIEW]Christopher Burr - 2016 - Philosophical Psychology 29 (5):789-791.
Data Driven Methods for Granger Causality and Contemporaneous Causality with Non-Linear Corrections: Climate Teleconnection Mechanisms.T. Chu & D. Danks - unknown
Data driven methods for Granger causality and contemporaneous causality with non-linear corrections: Climate teleconnection mechanisms.Clark Glymour - unknown
Conceptual spaces as a framework for knowledge representation.Peter Gardenfors - 2004 - Mind and Matter 2 (2):9-27.
Modeling decisions from experience: How models with a set of parameters for aggregate choices explain individual choices.Neha Sharma & Varun Dutt - 2017 - Journal of Dynamic Decision Making 3 (1).
Category-based induction in conceptual spaces.Matías Osta-Vélez & Peter Gärdenfors - 2020 - Journal of Mathematical Psychology 96.
An axiomatic characterization of causal counterfactuals.David Galles & Judea Pearl - 1998 - Foundations of Science 3 (1):151-182.
Conversations on the search for a 'physics & chemistry – an alchemy' of innovation - reward systems.Mr James Alexander - 2009

Analytics

Added to PP
2020-12-22

Downloads
4 (#1,629,023)

6 months
3 (#984,214)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

On probabilistic inference by weighted model counting.Mark Chavira & Adnan Darwiche - 2008 - Artificial Intelligence 172 (6-7):772-799.
Recursive conditioning.Adnan Darwiche - 2001 - Artificial Intelligence 126 (1-2):5-41.
AND/OR search spaces for graphical models.Rina Dechter & Robert Mateescu - 2007 - Artificial Intelligence 171 (2-3):73-106.

View all 6 references / Add more references