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ECML
2007
Springer
14 years 4 months ago
Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
Abstract. Robustly estimating the state-transition probabilities of highorder Markov processes is an essential task in many applications such as natural language modeling or protei...
Rikiya Takahashi
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 10 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
ICRA
2005
IEEE
131views Robotics» more  ICRA 2005»
14 years 4 months ago
Model-based Shape Analysis of Gas Concentration Gridmaps for Improved Gas Source Localisation
Abstract— This work addresses the capability to use concentration gridmaps to locate a static gas source. In previous works it was found that depending on the shape of the mapped...
Achim J. Lilienthal, Felix Streichert, Andreas Zel...
OR
2002
Springer
13 years 10 months ago
Sharpe style analysis in the msci sector portfolios: a monte carlo integration approach
We examine a decision-theoretic Bayesian framework for the estimation of Sharpe Style portfolio weights of the MSCI sector returns. Following van Dijk and Kloek (1980) an appropri...
George A. Christodoulakis
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
14 years 10 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...