arthegall + bayesian-networks 14
[0811.4458v2] Learning Class-Level Bayes Nets for Relational Data
december 2011 by arthegall
Ah, this is the "Join Bayes Nets" paper, reworked...
via:cshalizi
bayesian-methods
bayesian-networks
arxiv
research-article
probabilistic-relational-models
december 2011 by arthegall
Pennock, Wellman, "Toward a Market Model for Bayesian Inference," (UAI 1996)
september 2009 by arthegall
"We present a methodology for representing probabilistic relationships in a general-equilibrium economic model. Specifically, we define a precise mapping from a Bayesian network with binary nodes to a market price system where consumers and producers trade in uncertain propositions. We demonstrate the correspondence between the equilibrium prices of goods in this economy and the probabilities represented by the Bayesian network." -- (Noted in a link at this blog post: http://mblog.lib.umich.edu/strategic/archives/2009/09/market_reductio.html)
david-pennock
bayesian-networks
markets
uai
research-article
machinelearning
september 2009 by arthegall
Schulte et al "Join Bayes Nets: A new type of Bayes net for relational data" (arXiv)
december 2008 by arthegall
"Many databases store data in relational format, with different types of entities and information about links between the entities. The field of statistical-relational learning has developed a number of new statistical models for such data. Instead of introducing a new model class, we propose using a standard model class--Bayes nets--in a new way: Join Bayes nets contain nodes that correspond to the descriptive attributes of the database tables, plus Boolean relationship nodes that indicate the presence of a link." ---- Everyone's got their own flavor of "higher-order" graphical model.
probabilistic-methods
machinelearning
research-article
arxiv
bayesian-networks
relational-data
december 2008 by arthegall
Das "Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem"
august 2008 by arthegall
To read. "We invoke the methods of information geometry to demonstrate how these weighted sums capture the expert's judgemental strategy."
arxiv
research-article
bayesian-networks
graphical-models
elicited-models
august 2008 by arthegall
Dominik Janzing, Bernhard Schoelkopf, "Causal inference using the algorithmic Markov condition"
april 2008 by arthegall
I wish they wouldn't call them "causal graphs," when they're really just what (most) people call Bayesian networks. Maybe we could come to a compromise? "Causal-ish Graphs?"
bayesian-networks
arxiv
research-article
inference
causality
markov-models
april 2008 by arthegall
Bayesian Poker Player - Monash BPP
august 2007 by arthegall
An academic-research project (ongoing) to use Bayesian Networks in modeling opponents behavior, in a computer poker player.
python
bayesian-networks
poker
games
research
machinelearning
august 2007 by arthegall
Judea Pearl's "Probabilistic Reasoning in Intelligent Systems" (Google Book Search)
july 2007 by arthegall
This is the book I was describing to you.
book
networks
probability
inference
bayesian-probability
bayesian-networks
july 2007 by arthegall
Bayesian Network tools in Java (BNJ)
may 2007 by arthegall
Kansas State-developed package for Bayesian Networks in Java.
programming
bayesian-networks
machinelearning
library
java
may 2007 by arthegall
JavaBayes 0.346
may 2007 by arthegall
CMU-developed package for Bayesian Networks in Java.
programming
machinelearning
bayesian-networks
java
library
probability
may 2007 by arthegall
VIBES: Variational Inference for Bayesian Networks
may 2007 by arthegall
John Winn's variational inference code for bayesian networks, in Java.
programming
java
bayesian-networks
variational-methods
library
statistics
machinelearning
may 2007 by arthegall
Intel's Open-Source Probabilistic Networks Library (PNL)
march 2007 by arthegall
"PNL is a full function, free, open source, graphical models library released under a BSD style license."
bayesian-networks
graphical-models
programming
library
intel
research
machinelearning
march 2007 by arthegall
"Two Proposals for Causal Grammars," Griffiths and Tenenbaum
february 2007 by arthegall
A paper on using 'causal grammars' to induce some Bayesian networks, but not others, on observed data.
bayesian-networks
graphs
grammar
journal-article
statistics
causality
february 2007 by arthegall
related tags
arxiv ⊕ bayesian-methods ⊕ bayesian-networks ⊖ bayesian-probability ⊕ book ⊕ causality ⊕ copula ⊕ david-pennock ⊕ elicited-models ⊕ games ⊕ grammar ⊕ graphical-models ⊕ graphs ⊕ inference ⊕ intel ⊕ java ⊕ journal-article ⊕ library ⊕ machinelearning ⊕ markets ⊕ markov-models ⊕ networks ⊕ poker ⊕ probabilistic-methods ⊕ probabilistic-relational-models ⊕ probability ⊕ programming ⊕ psychology ⊕ python ⊕ relational-data ⊕ research ⊕ research-article ⊕ science ⊕ statistics ⊕ uai ⊕ variational-methods ⊕ via:cshalizi ⊕Copy this bookmark: