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NIPS
2007
13 years 8 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...
IJCAI
1993
13 years 8 months ago
A New Logical framework for Deductive Planning
objects, like elements of (abstract) data types in ordinary programming languages In the theory of abstract data types most often one only considers algebraic structures where all ...
Werner Stephan, Susanne Biundo
NETWORK
2008
107views more  NETWORK 2008»
13 years 7 months ago
HiCon: a hierarchical context monitoring and composition framework for next-generation context-aware services
This article presents a hierarchical context monitoring and composition framework that effectively supports next-generation context-aware services. The upcoming ubiquitous space w...
Kyungmin Cho, Inseok Hwang, Seungwoo Kang, Byoungj...
ISCA
1995
IEEE
120views Hardware» more  ISCA 1995»
13 years 11 months ago
Unconstrained Speculative Execution with Predicated State Buffering
Speculative execution is execution of instructions before it is known whether these instructions should be executed. Compiler-based speculative execution has the potential to achi...
Hideki Ando, Chikako Nakanishi, Tetsuya Hara, Masa...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 8 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...