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FOCS
2008
IEEE
15 years 10 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
ICML
2003
IEEE
16 years 4 months ago
Linear Programming Boosting for Uneven Datasets
The paper extends the notion of linear programming boosting to handle uneven datasets. Extensive experiments with text classification problem compare the performance of a number o...
Jure Leskovec, John Shawe-Taylor
MKM
2009
Springer
15 years 10 months ago
Natural Deduction Environment for Matita
Abstract. Matita is a proof assistant characterised by a rich, user extensible, output facility based on a widget for the rendering of MathML Presentation, and by the automatic han...
Claudio Sacerdoti Coen, Enrico Tassi
FLAIRS
2000
15 years 5 months ago
Resolving Conflicts Among Actions in Concurrent Behaviors
A robotic agent must coordinate its coupled concurrent behaviors to produce a coherent response to stimuli. Reinforcement learning has been used extensively in coordinating sensin...
Henry Hexmoor
ICML
2008
IEEE
16 years 4 months ago
Learning all optimal policies with multiple criteria
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
Leon Barrett, Srini Narayanan