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ICML
2010
IEEE
13 years 8 months ago
Active Risk Estimation
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
Christoph Sawade, Niels Landwehr, Steffen Bickel, ...
WWW
2007
ACM
14 years 8 months ago
Organizing and searching the world wide web of facts -- step two: harnessing the wisdom of the crowds
As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly sup...
Marius Pasca
CIKM
2009
Springer
14 years 2 months ago
A signal-to-noise approach to score normalization
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...
Avi T. Arampatzis, Jaap Kamps
IWANN
1999
Springer
13 years 11 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
HPDC
2002
IEEE
14 years 10 days ago
Predicting Sporadic Grid Data Transfers
The increasingly common practice of replicating datasets and using resources as distributed data stores in Grid environments has led to the problem of determining which replica ca...
Sudharshan Vazhkudai, Jennifer M. Schopf