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ICML
2004
IEEE
16 years 7 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
ICML
1995
IEEE
16 years 7 months ago
Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition
This paper describes an approach to automatically learn planning operators by observing expert solution traces and to further refine the operators through practice in a learning-b...
Xuemei Wang
SIGSOFT
2001
ACM
16 years 7 months ago
Combining UML and formal notations for modelling real-time systems
This article explores a dual approach to real-time software development. Models are written in UML, as this is expected to be relatively easy and economic. Then models are automat...
Luigi Lavazza, Gabriele Quaroni, Matteo Venturelli
ISBI
2006
IEEE
16 years 7 months ago
Automated tracking and modeling of microtubule dynamics
The method of microtubule tracking and dynamics analysis, presented here, improves upon the current means of manual and automated quantification of microtubule behavior. Key contr...
Motaz A. El Saban, Alphan Altinok, Austin J. Peck,...
ISBI
2008
IEEE
16 years 7 months ago
Fast nonlocal filtering applied to electron cryomicroscopy
We present an efficient algorithm for nonlocal image filtering with applications in electron cryomicroscopy. Our denoising algorithm is a rewriting of the recently proposed nonloc...
Alexandre Cunha, Grant J. Jensen, Jérô...