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PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
14 years 7 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
COLT
2008
Springer
14 years 11 months ago
Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo- Boolean Functions
A pseudo-Boolean function is a real-valued function defined on {0, 1}n . A k-bounded function is a pseudo-Boolean function that can be expressed as a sum of subfunctions each of w...
Sung-Soon Choi, Kyomin Jung, Jeong Han Kim
PODS
1997
ACM
117views Database» more  PODS 1997»
15 years 1 months ago
On the Analysis of Indexing Schemes
We consider the problem of indexing general database workloads (combinations of data sets and sets of potential queries). We de ne a framework for measuring the eciency of an ind...
Joseph M. Hellerstein, Elias Koutsoupias, Christos...
FOCS
1999
IEEE
15 years 1 months ago
Boosting and Hard-Core Sets
This paper connects two fundamental ideas from theoretical computer science: hard-core set construction, a type of hardness amplification from computational complexity, and boosti...
Adam Klivans, Rocco A. Servedio
AAAI
2010
14 years 11 months ago
New Mini-Bucket Partitioning Heuristics for Bounding the Probability of Evidence
Mini-Bucket Elimination (MBE) is a well-known approximation algorithm deriving lower and upper bounds on quantities of interest over graphical models. It relies on a procedure tha...
Emma Rollon, Rina Dechter