I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
We demonstrate how the framework that is used for creating efficient number-theoretic ID and signature schemes can be transferred into the setting of lattices. This results in cons...
The widening gap between CPU and memory speed has made caches an integral feature of modern highperformance processors. The high degree of configurability of cache memory can requ...
Rahman Hassan, Antony Harris, Nigel P. Topham, Ari...
Abstract. Testing is an important tool for validation of the system design and its implementation. Model-based test generation allows to systematically ascertain whether the system...
A. Agung Julius, Georgios E. Fainekos, Madhukar An...