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    JMLR
    2010
    153views more  JMLR 2010»
    Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
    13 years 4 months ago
    Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
    Download  jmlr.csail.mit.edu
    In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
    Gideon S. Mann, Andrew McCallum
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    TSP
    2010
    191views Artificial Intelligence» more  TSP 2010»
    A complex generalized Gaussian distribution: characterization, generation, and estimation
    13 years 4 months ago
    A complex generalized Gaussian distribution: characterization, generation, and estimation
    Download  www.cs.umbc.edu
    The generalized Gaussian distribution (GGD) provides a flexible and suitable tool for data modeling and simulation, however the characterization of the complex-valued GGD, in parti...
    Mike Novey, Tülay Adali, Anindya Roy
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    AGI
    2011
    274views Artificial Intelligence» more  AGI 2011»
    What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence
    13 years 1 months ago
    What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence
    Download  cogmech.ucmerced.edu
    Abstract. Recurrent connectivity, balanced between excitation and inhibition, is a general principle of cortical connectivity. We propose that balanced recurrence can be achieved b...
    Janelle Szary, Bryan Kerster, Christopher T. Kello
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    DAC
    2002
    ACM
    127views Computer Architecture» more  DAC 2002»
    A general probabilistic framework for worst case timing analysis
    14 years 11 months ago
    A general probabilistic framework for worst case timing analysis
    Download  www.cerc.utexas.edu
    CT The traditional approach to worst-case static-timing analysis is becoming unacceptably conservative due to an ever-increasing number of circuit and process effects. We propose a...
    Michael Orshansky, Kurt Keutzer
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    ICCAD
    2003
    IEEE
    210views Hardware» more  ICCAD 2003»
    Generalized Network Flow Techniques for Dynamic Voltage Scaling in Hard Real-Time Systems
    14 years 6 months ago
    Generalized Network Flow Techniques for Dynamic Voltage Scaling in Hard Real-Time Systems
    Download  people.ee.duke.edu
    Energy consumption is an important performance parameter for portable and wireless embedded systems. However, energy consumption must be carefully balanced with real-time responsi...
    Vishnu Swaminathan, Krishnendu Chakrabarty
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