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We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of… Expand We describe a new physics engine tailored to model-based control. Multi-joint dynamics are represented in generalized coordinates… Expand  Several new data sets reveal that thinning and speedup of Jakobshavn Isbrae continue, following its recent rapid increase in… Expand We construct a black box graph traversal problem that can be solved exponentially faster on a quantum computer than on a… Expand When looking at a scene, observers feel that they see its entire structure in great detail and can immediately notice any changes… Expand Abstract Many existing rule learning systems are computationally expensive on large noisy datasets. In this paper we evaluate the… Expand A control circuit for a fuel ignition system of the direct ignition type for providing an interlock on start-up to prevent the… Expand Let A be a Las Vegas algorithm, i.e., A is a randomized algorithm that always produces the correct answer when its stops but… Expand Abstract Let A be a Las Vegas algorithm, i.e., A is a randomized algorithm that always produces the correct answer when it stops… Expand The tradeoff between speedup and efficiency that is inherent to a software system is investigated. The extent to which this… Expand