Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
A conventional materialized view blindly materializes and maintains all rows of a view, even rows that are never accessed. We propose a more flexible materialization strategy aime...
Jingren Zhou, Jonathan Goldstein, Luping Ding, Per...
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
—This paper discusses multi-issue negotiation between agents such as providers and consumers in a group decision making environment. The outcome of such encounters depends on two...
Fahmida Abedin, Kuo-Ming Chao, Nick Godwin, Hisbel...
We discuss the problem of learning to rank labels from a real valued feedback associated with each label. We cast the feedback as a preferences graph where the nodes of the graph ...