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JMLR
2002
111views more  JMLR 2002»
15 years 6 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
JMLR
2002
137views more  JMLR 2002»
15 years 6 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
DAM
1999
114views more  DAM 1999»
15 years 6 months ago
Perfect and Almost Perfect Sequences
The autocorrelation function of a sequence is a measure for how much the given sequence di ers from its translates. Periodic binary sequences with good correlation properties have...
Dieter Jungnickel, Alexander Pott
MOR
2002
94views more  MOR 2002»
15 years 6 months ago
The Complexity of Generic Primal Algorithms for Solving General Integer Programs
ngly better objective function value until an optimal solution is reached. From an abstract point of view, an augmentation problem is solved in each iteration. That is, given a fea...
Andreas S. Schulz, Robert Weismantel
SIGPLAN
1998
15 years 6 months ago
The DrScheme Project: An Overview
DrScheme provides a graphical user interface for editing and interactively evaluating Scheme programs on all major graphical platforms (Windows 95/nt, MacOs, Unix/X). The environm...
Matthias Felleisen, Robert Bruce Findler, Matthew ...
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