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JMLR
2010
88views more  JMLR 2010»
13 years 2 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
ICIDS
2009
Springer
14 years 2 months ago
Directorial Control in a Decision-Theoretic Framework for Interactive Narrative
Computer aided interactive narrative has received increasing attention in recent years. Automated directorial control that manages the development of the story in the face of user ...
Mei Si, Stacy C. Marsella, David V. Pynadath
SIBGRAPI
2008
IEEE
14 years 1 months ago
Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence Method
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
Damian E. Oliva, Roberto A. Isoardi, Germán...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
14 years 8 months ago
Generalized component analysis for text with heterogeneous attributes
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
Xuerui Wang, Chris Pal, Andrew McCallum
COMGEO
2006
ACM
13 years 7 months ago
Cost prediction for ray shooting in octrees
The ray shooting problem arises in many different contexts and is a bottleneck of ray tracing in computer graphics. Unfortunately, theoretical solutions to the problem are not ver...
Boris Aronov, Hervé Brönnimann, Allen ...