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    Chapter and Conference Paper

    Transitive Assignment Kernels for Structural Classification

    Kernel methods provide a convenient way to apply a wide range of learning techniques to complex and structured data by shifting the representational problem from one of finding an embedding of the data to that...

    Michele Schiavinato, Andrea Gasparetto in Similarity-Based Pattern Recognition (2015)

  2. Chapter and Conference Paper

    Transitive State Alignment for the Quantum Jensen-Shannon Kernel

    Kernel methods provide a convenient way to apply a wide range of learning techniques to complex and structured data by shifting the representational problem from one of finding an embedding of the data to that...

    Andrea Torsello, Andrea Gasparetto in Structural, Syntactic, and Statistical Pat… (2014)