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» Improved bounds on the sample complexity of learning
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CGF
1999
81views more  CGF 1999»
13 years 7 months ago
Multi-layered impostors for accelerated rendering
This paper describes the successful combination of pre-generated and dynamically updated image-based representations to accelerate the visualization of complex virtual environment...
Xavier Décoret, François X. Sillion,...
FOCS
2003
IEEE
14 years 25 days ago
On Levels in Arrangements of Curves, II: A Simple Inequality and Its Consequences
We give a surprisingly short proof that in any planar arrangement of Ò curves where each pair intersects at most a fixed number (×) of times, the -level has subquadratic (Ç´...
Timothy M. Chan
IJPRAI
2002
93views more  IJPRAI 2002»
13 years 7 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
CEC
2010
IEEE
13 years 8 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...
NIPS
2001
13 years 9 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