The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Abstract. Two methods were evaluated for performing spectral breakpoint matching: a multi-level pruned exhaustive search and a genetic algorithm. The GA found matches about as good...
In this paper, we present a functional partitioning method for low power real-time distributed embedded systems whose constituent nodes are systems-on-a-chip (SOCs). The systemlev...
We give a “regularity lemma” for degree-d polynomial threshold functions (PTFs) over the Boolean cube {−1, 1}n . Roughly speaking, this result shows that every degree-d PTF ...
Ilias Diakonikolas, Rocco A. Servedio, Li-Yang Tan...