Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
We analyse the computational complexity of phonological models as they have developed over the past twenty years. The major results ate that generation and recognition are undecid...
Quantitative models of biochemical networks (signal transduction cascades, metabolic pathways, gene regulatory circuits) are a central component of modern systems biology. Buildin...
Rainer Breitling, David Gilbert, Monika Heiner, Ri...
We present a novel algorithm for repairing structurally complex data. Given an assertion that represents desired structural integrity constraints and a structure that violates them...
The paper discusses two policies for recognizing NEs with complex structures by maximum entropy models. One policy is to develop cascaded MaxEnt models at different levels. The ot...