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» Lower Bounds on the Size of Test Data Sets
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STOC
1992
ACM
110views Algorithms» more  STOC 1992»
13 years 11 months ago
Linear Decision Trees: Volume Estimates and Topological Bounds
Abstract. We describe two methods for estimating the size and depth of decision trees where a linear test is performed at each node. Both methods are applied to the question of dec...
Anders Björner, László Lov&aacu...
JCO
2008
84views more  JCO 2008»
13 years 7 months ago
Partitioning a weighted partial order
The problem of partitioning a partially ordered set into a minimum number of chains is a well-known problem. In this paper we study a generalization of this problem, where we not ...
Linda S. Moonen, Frits C. R. Spieksma
IJCAI
2003
13 years 9 months ago
Evaluating Classifiers by Means of Test Data with Noisy Labels
Often the most expensive and time-consuming task in building a pattern recognition system is col­ lecting and accurately labeling training and testing data. In this paper, we exp...
Chuck P. Lam, David G. Stork
SIROCCO
2007
13 years 9 months ago
Optimal Conclusive Sets for Comparator Networks
A set of input vectors S is conclusive if correct functionality for all input vectors is implied by correct functionality over vectors in S. We consider four functionalities of co...
Guy Even, Tamir Levi, Ami Litman
COMBINATORICS
2007
55views more  COMBINATORICS 2007»
13 years 7 months ago
Clusters in a Multigraph with Elevated Density
In this paper, we prove that in a multigraph whose density Γ exceeds the maximum vertex degree ∆, the collection of minimal clusters (maximally dense sets of vertices) is cycle...
Mark K. Goldberg