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» Three Approaches to Probability Model Selection
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CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 4 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
BMCBI
2010
136views more  BMCBI 2010»
13 years 9 months ago
Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation proces...
Russell L. Zaretzki, Michael A. Gilchrist, William...
QOSA
2010
Springer
14 years 22 days ago
Validating Model-Driven Performance Predictions on Random Software Systems
Abstract. Software performance prediction methods are typically validated by taking an appropriate software system, performing both performance predictions and performance measurem...
Vlastimil Babka, Petr Tuma, Lubomír Bulej
ISER
1995
Springer
102views Robotics» more  ISER 1995»
14 years 10 days ago
Towards Principled Experimental Study of Autonomous Mobile Robots
We review the current state of research in autonomous mobile robots and conclude that there is an inadequate basis for predicting the reliability and behavior of robots operating ...
Erann Gat
AAAI
1994
13 years 10 months ago
Tractable Planning with State Variables by Exploiting Structural Restrictions
So far, tractable planning problems reported in the literature have been defined by syntactical restrictions. To better exploit the inherent structure in problems, however, it is ...
Peter Jonsson, Christer Bäckström