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» Parametric Prediction from Parametric Agents
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AAAI
2010
13 years 8 months ago
A Bayesian Nonparametric Approach to Modeling Mobility Patterns
Constructing models of mobile agents can be difficult without domain-specific knowledge. Parametric models flexible enough to capture all mobility patterns that an expert believes...
Joshua Mason Joseph, Finale Doshi-Velez, Nicholas ...
IDEAL
2007
Springer
14 years 26 days ago
Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
Daniel Hernández-Lobato, Gonzalo Mart&iacut...
BMCBI
2004
180views more  BMCBI 2004»
13 years 6 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 5 months ago
Learning physically-instantiated game play through visual observation
Abstract— We present an integrated vision and robotic system that plays, and learns to play, simple physically-instantiated board games that are variants of TIC TAC TOE and HEXAP...
Andrei Barbu, Siddharth Narayanaswamy, Jeffrey Mar...
SAC
2002
ACM
13 years 6 months ago
Option pricing under model and parameter uncertainty using predictive densities
The theoretical price of a financial option is given by the expectation of its discounted expiry time payoff. The computation of this expectation depends on the density of the val...
F. Oliver Bunnin, Yike Guo, Yuhe Ren