We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Register renaming is a widely used technique to remove false data dependencies in contemporary superscalar microprocessors. The register rename logic includes a mapping table that ...
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
In this study we rethought efficient market hypothesis from a viewpoint of complexity of market participants’ prediction methods and market price’s dynamics, and examined the ...
In this paper we present a technique for reducing response delay for web systems, which is based on a proactive cache scheme. It combines predictive pre-fetching and streaming to ...