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NIPS
2007
15 years 8 months ago
Agreement-Based Learning
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...
Percy Liang, Dan Klein, Michael I. Jordan
VVEIS
2008
15 years 8 months ago
An Executable Semantics of Object-oriented Models for Simulation and Theorem Proving
This paper presents an executable semantics of OO models. We made it possible to conduct both simulation and theorem proving on the semantics by implementing its underlying heap me...
Kenro Yatake, Takuya Katayama
AAAI
2006
15 years 8 months ago
Techniques for Generating Optimal, Robust Plans when Temporal Uncertainty is Present
Planning under uncertainty has been well studied, but usually the uncertainty is in action outcomes. This work instead investigates uncertainty in the amount of time that actions ...
Janae N. Foss
ESANN
2006
15 years 8 months ago
Discriminacy of the minimum range approach to blind separation of bounded sources
The Blind Source Separation (BSS) problem is often solved by maximizing objective functions reflecting the statistical dependency between outputs. Since global maximization may be ...
Dinh-Tuan Pham, Frédéric Vrins
ESANN
2006
15 years 8 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha