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» Imaginaries in Hilbert spaces
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ICML
2010
IEEE
13 years 8 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
SIAMCO
2008
72views more  SIAMCO 2008»
13 years 7 months ago
Mesh Independence of Kleinman--Newton Iterations for Riccati Equations in Hilbert Space
In this paper we consider the convergence of the infinite dimensional version of the Kleinman
John A. Burns, Ekkehard W. Sachs, Lizette Zietsman
TIT
2008
55views more  TIT 2008»
13 years 7 months ago
On the Performance of Clustering in Hilbert Spaces
Gérard Biau, Luc Devroye, Gábor Lugo...
TSP
2008
86views more  TSP 2008»
13 years 7 months ago
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning
Jian-Wu Xu, António R. C. Paiva, Il Park, J...
MP
1998
63views more  MP 1998»
13 years 7 months ago
On the projected subgradient method for nonsmooth convex optimization in a Hilbert space
Ya. I. Alber, Alfredo N. Iusem, Mikhail V. Solodov