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AAAI
2008
15 years 9 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang
AAAI
2008
15 years 9 months ago
Worst-case Optimal Conjunctive Query Answering for an Expressive Description Logic without Inverses
Answering conjunctive queries (CQs) has been recognized as a key task for the usage of Description Logics (DLs) in a number of applications, and has thus been studied by many auth...
Magdalena Ortiz, Mantas Simkus, Thomas Eiter
AAAI
2008
15 years 9 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
AAAI
2007
15 years 9 months ago
Representative Explanations for Over-Constrained Problems
In many interactive decision making scenarios there is often no solution that satisfies all of the user’s preferences. The decision process can be helped by providing explanati...
Barry O'Sullivan, Alexandre Papadopoulos, Boi Falt...
AAAI
2007
15 years 9 months ago
Computing Optimal Subsets
Various tasks in decision making and decision support require selecting a preferred subset of items from a given set of feasible items. Recent work in this area considered methods...
Maxim Binshtok, Ronen I. Brafman, Solomon Eyal Shi...