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SGP
2004
15 years 9 months ago
Signal-Specialized Parameterization for Piecewise Linear Reconstruction
We propose a metric for surface parameterization specialized to its signal that can be used to create more efficient, high-quality texture maps. Derived from Taylor expansion of s...
Geetika Tewari, John Snyder, Pedro V. Sander, Stev...
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AMW
2010
15 years 8 months ago
Run-time Optimization for Pipelined Systems
Traditional optimizers fail to pick good execution plans, when faced with increasingly complex queries and large data sets. This failure is even more acute in the context of XQuery...
Riham Abdel Kader, Maurice van Keulen, Peter A. Bo...
NIPS
2008
15 years 8 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
NIPS
2007
15 years 8 months ago
Anytime Induction of Cost-sensitive Trees
Machine learning techniques are increasingly being used to produce a wide-range of classifiers for complex real-world applications that involve nonuniform testing costs and miscl...
Saher Esmeir, Shaul Markovitch
NIPS
2007
15 years 8 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...