In this paper, we introduce a new class of data mining problems called learning from aggregate views. In contrast to the traditional problem of learning from a single table of tra...
Bee-Chung Chen, Lei Chen 0003, Raghu Ramakrishnan,...
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
In this short note we demonstrate the applicability of hyperlink downweighting by means of language model disagreement. The method filters out hyperlinks with no relevance to the ...
In this paper, we introduce WPML (WebProfiles Markup Language) for expressing user-context preferences information in the Web. Using WPML a service provider can negotiate and obta...
We propose a type system MLFthat generalizes ML with first-class polymorphism as in System F. Expressions may contain secondorder type annotations. Every typable expression admits...