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    JMLR
    2010
    121views more  JMLR 2010»
    Sparse Semi-supervised Learning Using Conjugate Functions
    13 years 3 months ago
    Sparse Semi-supervised Learning Using Conjugate Functions
    Download  jmlr.csail.mit.edu
    In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
    Shiliang Sun, John Shawe-Taylor
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    FCCM
    2000
    IEEE
    122views VLSI» more  FCCM 2000»
    Evaluating Hardware Compilation Techniques
    14 years 1 months ago
    Evaluating Hardware Compilation Techniques
    Download  www.coe.uncc.edu
    Hardware compilation techniques which use highlevel programming languages to describe and synthesize hardware are gaining popularity. They are especially useful for reconfigurable...
    Markus Weinhardt, Wayne Luk
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    BCSHCI
    2007
    124views Human Computer Interaction» more  BCSHCI 2007»
    Design, use and experience of e-learning systems
    13 years 10 months ago
    Design, use and experience of e-learning systems
    Download  www.bcs.org
    The use of computer applications to support learning and assessment is becoming more common, along with a growing body of research focusing on the pedagogical effectiveness of the...
    Willem-Paul Brinkman, Annette Payne, Nayna Patel, ...
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    NIPS
    2007
    133views Information Technology» more  NIPS 2007»
    Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
    13 years 10 months ago
    Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
    Download  books.nips.cc
    Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
    Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....
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    BMCBI
    2008
    131views more  BMCBI 2008»
    K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
    13 years 8 months ago
    K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
    Download  www.biomedcentral.com
    Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
    Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
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