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JMLR
2006
105views more  JMLR 2006»
15 years 6 months ago
Linear State-Space Models for Blind Source Separation
We apply a type of generative modelling to the problem of blind source separation in which prior knowledge about the latent source signals, such as time-varying auto-correlation a...
Rasmus Kongsgaard Olsson, Lars Kai Hansen
ENTCS
2007
140views more  ENTCS 2007»
15 years 6 months ago
Admissible Representations of Probability Measures
In a recent paper, probabilistic processes are used to generate Borel probability measures on topological spaces X that are equipped with a representation in the sense of Type-2 T...
Matthias Schröder
ML
2008
ACM
152views Machine Learning» more  ML 2008»
15 years 6 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
JUCS
2006
68views more  JUCS 2006»
15 years 6 months ago
Time-varying H Systems Revisited
: We cast a new look on time-varying distributed H systems. In their original definition, where only new strings are passed to the next component, this language definition in itsel...
Remco Loos
GRID
2007
Springer
15 years 6 months ago
Managing Large Scale Data for Earthquake Simulations
The Southern California Earthquake Center digital library publishes scientific data generated by seismic wave propagation simulations. The output from a single simulation may be as...
Marcio Faerman, Reagan Moore, Yifeng Cui, Yuanfang...