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» TRUST-TECH based Methods for Optimization and Learning
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CVPR
2005
IEEE
15 years 5 months ago
Database-Guided Segmentation of Anatomical Structures with Complex Appearance
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...
ICML
2010
IEEE
15 years 1 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
NIPS
1998
15 years 4 months ago
SMEM Algorithm for Mixture Models
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Ge...
BDA
2007
15 years 4 months ago
Pattern by Example: type-driven visual programming of XML queries
We present Pattern-by-Example (PBE), a graphical language that allows users with little or no knowledge of pattern-matching and functional programming to define complex and optim...
Véronique Benzaken, Giuseppe Castagna, Dari...
PE
2000
Springer
95views Optimization» more  PE 2000»
15 years 2 months ago
Compositional performance modelling with the TIPPtool
Stochastic process algebras have been proposed as compositional specification formalisms for performance models. In this paper, we describe a tool which aims at realising all bene...
Holger Hermanns, Ulrich Herzog, Ulrich Klehmet, Va...