Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
Rectangular hybrid automatamodel digital control programs of analog plant environments. We study rectangular hybrid automatawhere the plant state evolves continuously in real-numbe...