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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 1 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
UAI
2004
14 years 11 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
ATAL
2007
Springer
15 years 3 months ago
Graphical models for online solutions to interactive POMDPs
We develop a new graphical representation for interactive partially observable Markov decision processes (I-POMDPs) that is significantly more transparent and semantically clear t...
Prashant Doshi, Yifeng Zeng, Qiongyu Chen
89
Voted
SPAA
2006
ACM
15 years 3 months ago
Modeling instruction placement on a spatial architecture
In response to current technology scaling trends, architects are developing a new style of processor, known as spatial computers. A spatial computer is composed of hundreds or eve...
Martha Mercaldi, Steven Swanson, Andrew Petersen, ...
181
Voted
ECOOP
2009
Springer
15 years 10 months ago
COPE - Automating Coupled Evolution of Metamodels and Models
Model-based development promises to increase productivity by offering modeling languages tailored to a specific domain. Such modeling languages are typically defined by a metamodel...
Elmar Jürgens, Markus Herrmannsdoerfer, Sebas...