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    <title>Simard, Patrice</title>
    <link>https://e-sygoing.link/link/5633990-simard-patrice</link>
    <description>Machine learning and generalization.</description>
    <pubDate>Mon, 13 Apr 2026 04:07:47 -0400</pubDate>
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    <title>Murray-Smith, Roderick</title>
    <link>https://e-sygoing.link/link/5634035-murray-smith-roderick</link>
    <description>Gesture recognition, Gaussian Process priors, control systems, probabilistic intelligent interfaces.</description>
    <pubDate>Tue, 17 Mar 2026 01:34:32 -0400</pubDate>
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    <title>Versace,  Massimiliano</title>
    <link>https://e-sygoing.link/link/5634045-versace-massimiliano</link>
    <description>Neural networks applied to visual perception and computational modeling of mental disorders.</description>
    <pubDate>Sun, 08 Mar 2026 14:02:49 -0400</pubDate>
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    <title>Winther, Ole</title>
    <link>https://e-sygoing.link/link/5634015-winther-ole</link>
    <description>Variational algorithms for Gaussian processes, neural networks and support vector machines. Also work on belief propagation and protein structure prediction.</description>
    <pubDate>Sat, 07 Feb 2026 05:26:33 -0500</pubDate>
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    <title>Tipping, Mike</title>
    <link>https://e-sygoing.link/link/5634029-tipping-mike</link>
    <description>Bayesian learning, relevance vector machine, probabilistic principal component analysis.</description>
    <pubDate>Fri, 09 Jan 2026 04:03:50 -0500</pubDate>
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    <title>Zemel, Richard</title>
    <link>https://e-sygoing.link/link/5633983-zemel-richard</link>
    <description>Unsupervised learning, machine learning, computational models of neural processing.</description>
    <pubDate>Thu, 01 Jan 2026 09:26:52 -0500</pubDate>
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    <title>Anthony, Martin</title>
    <link>https://e-sygoing.link/link/5634043-anthony-martin</link>
    <description>Computational learning theory, discrete mathematics.</description>
    <pubDate>Fri, 19 Dec 2025 06:49:31 -0500</pubDate>
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    <title>Murphy, Kevin P.</title>
    <link>https://e-sygoing.link/link/5633969-murphy-kevin-p</link>
    <description>Graphical models, machine learning, reinforcement learning.</description>
    <pubDate>Fri, 28 Nov 2025 07:32:12 -0500</pubDate>
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    <title>Herbrich, Ralph</title>
    <link>https://e-sygoing.link/link/5634016-herbrich-ralph</link>
    <description>Statistical learning theory, support vector machines and kernel methods.</description>
    <pubDate>Wed, 26 Nov 2025 09:52:28 -0500</pubDate>
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    <title>Meila, Marina</title>
    <link>https://e-sygoing.link/link/5633986-meila-marina</link>
    <description>Graphical models, learning in high dimensions, tree networks.</description>
    <pubDate>Tue, 25 Nov 2025 13:45:38 -0500</pubDate>
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