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» Exploiting Deep Structure
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SODA
2003
ACM
100views Algorithms» more  SODA 2003»
15 years 7 months ago
Quantum algorithms for some hidden shift problems
Almost all of the most successful quantum algorithms discovered to date exploit the ability of the Fourier transform to recover subgroup structure of functions, especially periodi...
Wim van Dam, Sean Hallgren, Lawrence Ip
NIPS
1997
15 years 7 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
COLING
1996
15 years 7 months ago
A Computational Model of Incremental Utterance Production in Task-Oriented Dialogues
This paper presents a comtmtational model of incremental utterance production in task-oriented dialogues. This model incrementally produces utterantes to propose the solution of a...
Kohji Dohsaka, Akira Shimazu
IBMRD
2006
63views more  IBMRD 2006»
15 years 6 months ago
Decomposing the load-store queue by function for power reduction and scalability
Because they are based on large content-addressable memories, load-store queues (LSQ) present implementation challenges in superscalar processors, especially as issue width and nu...
Lee Baugh, Craig B. Zilles
MCS
2008
Springer
15 years 6 months ago
Detecting multiple mean breaks at unknown points in official time series
In this paper, we propose a computationally effective approach to detect multiple structural breaks in the mean occurring at unknown dates. We present a non-parametric approach th...
Carmela Cappelli, Richard N. Penny, William S. Rea...