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» On the Relative Sizes of Learnable Sets
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GCB
2010
Springer
204views Biometrics» more  GCB 2010»
13 years 6 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
DIAGRAMS
2004
Springer
14 years 2 months ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
SIGMETRICS
1998
ACM
114views Hardware» more  SIGMETRICS 1998»
14 years 28 days ago
Generating Representative Web Workloads for Network and Server Performance Evaluation
One role for workload generation is as a means for understanding how servers and networks respond to variation in load. This enables management and capacity planning based on curr...
Paul Barford, Mark Crovella
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
13 years 10 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
DAM
2007
100views more  DAM 2007»
13 years 8 months ago
Partially ordered knapsack and applications to scheduling
In the partially-ordered knapsack problem (POK) we are given a set N of items and a partial order ≺P on N. Each item has a size and an associated weight. The objective is to pac...
Stavros G. Kolliopoulos, George Steiner