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» The Complexity of the Annihilating Polynomial
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IJCAI
1997
15 years 7 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
UAI
2000
15 years 7 months ago
PEGASUS: A policy search method for large MDPs and POMDPs
We propose a new approach to the problem of searching a space of policies for a Markov decision process (MDP) or a partially observable Markov decision process (POMDP), given a mo...
Andrew Y. Ng, Michael I. Jordan
CORR
2008
Springer
89views Education» more  CORR 2008»
15 years 6 months ago
Flow Faster: Efficient Decision Algorithms for Probabilistic Simulations
Strong and weak simulation relations have been proposed for Markov chains, while strong simulation and strong probabilistic simulation relations have been proposed for probabilisti...
Lijun Zhang, Holger Hermanns, Friedrich Eisenbrand...
ECCC
2006
99views more  ECCC 2006»
15 years 6 months ago
On the Subgroup Distance Problem
We investigate the computational complexity of finding an element of a permutation group H Sn with a minimal distance to a given Sn, for different metrics on Sn. We assume that...
Christoph Buchheim, Peter J. Cameron, Taoyang Wu
JSAC
2008
105views more  JSAC 2008»
15 years 6 months ago
Vector Precoding for Wireless MIMO Systems and its Replica Analysis
This paper studies a nonlinear vector precoding scheme which inverts the wireless multiple-input multiple-output (MIMO) channel at the transmitter so that simple symbol-bysymbol de...
Ralf R. Müller, Dongning Guo, Aris L. Moustak...