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» Modeling Signs Using Functional Data Analysis
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ATAL
2007
Springer
16 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
MICCAI
2008
Springer
16 years 8 months ago
Automatic Image Analysis of Histopathology Specimens Using Concave Vertex Graph
Automatic image analysis of histopathology specimens would help the early detection of blood cancer. The first step for automatic image analysis is segmentation. However, touching ...
Lin Yang, Oncel Tuzel, Peter Meer, David J. For...
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RECOMB
2002
Springer
16 years 7 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
ICANN
2009
Springer
15 years 11 months ago
Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
Adrian G. Bors, Nikolaos Nasios
ICASSP
2009
IEEE
16 years 1 months ago
Postural time-series analysis using Empirical Mode Decomposition and second-order difference plots
This paper presents a new method for analysis of center of pressure (COP) signals using Empirical Mode Decomposition (EMD). The EMD decomposes a COP signal into a finite set of b...
Ram Bilas Pachori, David J. Hewson, Hichem Snoussi...