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101
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ECTEL
2007
Springer
15 years 6 months ago
Exploiting Preference Queries for Searching Learning Resources
While the growing number of learning resources increases the choice for learners, it also makes it more and more difficult to find suitable courses. Thus, improved search capabili...
Fabian Abel, Eelco Herder, Philipp Kärger, Da...
102
Voted
TIT
1998
90views more  TIT 1998»
15 years 3 days ago
Source Codes as Random Number Generators
—A random number generator generates fair coin flips by processing deterministically an arbitrary source of nonideal randomness. An optimal random number generator generates asy...
Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio ...
CVPR
2009
IEEE
16 years 7 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
101
Voted
ML
2008
ACM
15 years 12 days ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
ICML
2006
IEEE
16 years 1 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto