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SOFSEM
2010
Springer
16 years 3 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
CIDR
2009
129views Algorithms» more  CIDR 2009»
15 years 7 months ago
Extracting and Querying a Comprehensive Web Database
Recent research in domain-independent information extraction holds the promise of an automatically-constructed structured database derived from the Web. A query system based on th...
Michael J. Cafarella
COLT
2005
Springer
15 years 11 months ago
Learnability of Bipartite Ranking Functions
The problem of ranking, in which the goal is to learn a real-valued ranking function that induces a ranking or ordering over an instance space, has recently gained attention in mac...
Shivani Agarwal, Dan Roth
SIGGRAPH
2010
ACM
15 years 10 months ago
Unstructured video-based rendering: interactive exploration of casually captured videos
We present an algorithm designed for navigating around a performance that was filmed as a “casual” multi-view video collection: real-world footage captured on hand held camer...
Luca Ballan, Gabriel J. Brostow, Jens Puwein, Marc...
ECML
1993
Springer
15 years 10 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman