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» Algorithmic Luckiness
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NIPS
2001
13 years 6 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 5 months ago
Systematic data selection to mine concept-drifting data streams
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Wei Fan
TIT
1998
80views more  TIT 1998»
13 years 4 months ago
Structural Risk Minimization Over Data-Dependent Hierarchies
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
John Shawe-Taylor, Peter L. Bartlett, Robert C. Wi...
ALT
2008
Springer
14 years 1 months ago
On-Line Probability, Complexity and Randomness
Abstract. Classical probability theory considers probability distributions that assign probabilities to all events (at least in the finite case). However, there are natural situat...
Alexey V. Chernov, Alexander Shen, Nikolai K. Vere...
BIRTHDAY
2009
Springer
13 years 11 months ago
Is the World Linear?
Super-resolution is the art of creating nice high-resolution raster images from given low-resolution raster images. Since “nice” is not a well-defined term in mathematics and ...
Rudolf Fleischer