Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
The general purpose processor has long been the focus of intense optimization efforts that have resulted in an impressive doubling of performance every 18 months. However, recent ...
Christopher T. Weaver, Rajeev Krishna, Lisa Wu, To...
In this paper, we provide an algorithm that systematically considers all small trees in the search space of genetic programming. These small trees are used to generate useful subr...
Determining the attachments of prepositions and subordinate conjunctions is a key problem in parsing natural language. This paper presents a trainable approach to making these att...
In pay-per click sponsored search auctions which are cur-
rently extensively used by search engines, the auction for
a keyword involves a certain number of advertisers (say k)
c...