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    NIPS
    1997
    96views Information Technology» more  NIPS 1997»
    Learning Generative Models with the Up-Propagation Algorithm
    14 years 4 days ago
    Learning Generative Models with the Up-Propagation Algorithm
    Download  hebb.mit.edu
    Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
    Jong-Hoon Oh, H. Sebastian Seung
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    CASCON
    1996
    126views Education» more  CASCON 1996»
    Evaluating the costs of management: a distributed applications management testbed
    14 years 3 days ago
    Evaluating the costs of management: a distributed applications management testbed
    Download  www.cs.ubc.ca
    In today's distributed computing environments, users are makingincreasing demands on the systems, networks, and applications they use. Users are coming to expect performance,...
    Michael Katchabaw, Stephen L. Howard, Andrew D. Ma...
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    CASCON
    1996
    139views Education» more  CASCON 1996»
    Data locality sensitivity of multithreaded computations on a distributed-memory multiprocessor
    14 years 3 days ago
    Data locality sensitivity of multithreaded computations on a distributed-memory multiprocessor
    Download  www.cs.ubc.ca
    The locality of the data in parallel programs is known to have a strong impact on the performance of distributed-memory multiprocessor systems. The worse the locality in access pa...
    Xinmin Tian, Shashank S. Nemawarkar, Guang R. Gao,...
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    NIPS
    1990
    266views Information Technology» more  NIPS 1990»
    Bumptrees for Efficient Function, Constraint and Classification Learning
    13 years 12 months ago
    Bumptrees for Efficient Function, Constraint and Classification Learning
    Download  www.icsi.berkeley.edu
    A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
    Stephen M. Omohundro
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    BMCBI
    2007
    151views more  BMCBI 2007»
    A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
    13 years 11 months ago
    A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microar
    Download  www.biomedcentral.com
    Background: The incorporation of prior biological knowledge in the analysis of microarray data has become important in the reconstruction of transcription regulatory networks in a...
    Peter Larsen, Eyad Almasri, Guanrao Chen, Yang Dai
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