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CSDA
2010
118views more  CSDA 2010»
15 years 4 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola
CIKM
2005
Springer
15 years 9 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan
ATAL
2005
Springer
15 years 9 months ago
Using emergence in participatory simulations to design multi-agent systems
In this paper, we present, through simulations of the coffee market of the state of Veracruz, how emergence of specialized roles in participatory simulations could be used to desi...
Paul Guyot, Alexis Drogoul, Christian Lemaît...
ATAL
2010
Springer
15 years 5 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
SIGMOD
2003
ACM
166views Database» more  SIGMOD 2003»
16 years 4 months ago
Statistical Schema Matching across Web Query Interfaces
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang