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158
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CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 6 months ago
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
Sumio Watanabe
CSDA
2008
80views more  CSDA 2008»
15 years 6 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
188
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IJRR
2006
95views more  IJRR 2006»
15 years 6 months ago
Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection
We describe the design and experimental validation of a large heterogeneous mobile robot team built for the DARPA Software for Distributed Robotics (SDR) program. The core challen...
Andrew Howard, Lynne E. Parker, Gaurav S. Sukhatme
JMLR
2006
135views more  JMLR 2006»
15 years 6 months ago
Quantile Regression Forests
Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
Nicolai Meinshausen
TSP
2008
102views more  TSP 2008»
15 years 6 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny