We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...
d Abstract appeared in STACS `98) Joel H. Spencer1 and Katherine St. John2 1 Courant Institute, New York University, New York, NY 10012 2 Department of Mathematics, Santa Clara Uni...
We show that the mistake bound for predicting the nodes of an arbitrary weighted graph is characterized (up to logarithmic factors) by the cutsize of a random spanning tree of the...
d Abstract] Danny Hendler Department of Computer-Science Ben-Gurion University hendlerd@cs.bgu.ac.il Philipp Woelfel Department of Computer-Science University of Calgary woelfel@cp...