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» Timed, Distributed, Probabilistic, Typed Processes
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AAAI
2012
11 years 11 months ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole
CSFW
2007
IEEE
14 years 3 months ago
Compositional Security for Task-PIOAs
Task-PIOA is a modeling framework for distributed systems with both probabilistic and nondeterministic behaviors. It is suitable for cryptographic applications because its task-bas...
Ran Canetti, Ling Cheung, Dilsun Kirli Kaynar, Nan...
NIPS
2003
13 years 10 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
VLDB
2007
ACM
89views Database» more  VLDB 2007»
14 years 8 months ago
Effective Phrase Prediction
Autocompletion is a widely deployed facility in systems that require user input. Having the system complete a partially typed "word" can save user time and effort. In th...
Arnab Nandi, H. V. Jagadish
JEC
2006
100views more  JEC 2006»
13 years 8 months ago
RC-SIMD: Reconfigurable communication SIMD architecture for image processing applications
During the last two decades, Single Instruction Multiple Data (SIMD) processors have become important architectures in embedded systems for image processing applications. The main ...
Hamed Fatemi, Bart Mesman, Henk Corporaal, Twan Ba...