We introduce a new technique that can reduce any
higher-order Markov random field with binary labels into
a first-order one that has the same minima as the original.
Moreover, w...
This paper introduces a new numerical approximation technique, called the Differential Quadrature Method (DQM), in order to derive the rational ABCD matrix representing the high-s...
In this paper, we present an efficient model for discovering repeated patterns in symbolic representations of music. Combinatorial redundancy inherent to the pattern discovery pa...
—Model-based development techniques enable a high efficiency and the mastering of complexity. For many domains more than one model has to be used to express the relevant informat...
Matthias Riebisch, Stephan Bode, Qurat-ul-ann Faro...
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan