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ICANN
2009
Springer
14 years 1 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 1 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
SARA
2009
Springer
14 years 1 months ago
Light Algorithms for Maintaining Max-RPC During Search
Abstract. This article presents two new algorithms whose purpose is to maintain the Max-RPC domain filtering consistency during search with a minimal memory footprint and implemen...
Julien Vion, Romuald Debruyne
DAWAK
2001
Springer
14 years 1 months ago
Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments
Multi-Dimensional Expressions (MDX) provide an interface for asking several related OLAP queries simultaneously. An interesting problem is how to optimize the execution of an MDX q...
Panos Kalnis, Dimitris Papadias
SIGGRAPH
2010
ACM
14 years 1 months ago
Stable spaces for real-time clothing
We present a technique for learning clothing models that enables the simultaneous animation of thousands of detailed garments in real-time. This surprisingly simple conditional mo...
Edilson de Aguiar, Leonid Sigal, Adrien Treuille, ...