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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...
TASE
2008
IEEE
13 years 7 months ago
Lean Buffering in Serial Production Lines With Nonidentical Exponential Machines
Lean buffering is the smallest buffer capacity, which is necessary and sufficient to ensure the desired production rate of a manufacturing system. Literature offers methods for des...
Shu-Yin Chiang, Alexander Hu, Semyon M. Meerkov
ISCA
2007
IEEE
196views Hardware» more  ISCA 2007»
14 years 1 months ago
Anton, a special-purpose machine for molecular dynamics simulation
The ability to perform long, accurate molecular dynamics (MD) simulations involving proteins and other biological macromolecules could in principle provide answers to some of the ...
David E. Shaw, Martin M. Deneroff, Ron O. Dror, Je...
IJON
2007
184views more  IJON 2007»
13 years 7 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
SC
2000
ACM
13 years 12 months ago
Parallel Smoothed Aggregation Multigrid: Aggregation Strategies on Massively Parallel Machines
Algebraic multigrid methods offer the hope that multigrid convergence can be achieved (for at least some important applications) without a great deal of effort from engineers an...
Ray S. Tuminaro, Charles Tong