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ISNN
2004
Springer
14 years 29 days ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
VMCAI
2010
Springer
14 years 4 months ago
Building a Calculus of Data Structures
Abstract. Techniques such as verification condition generation, preditraction, and expressive type systems reduce software verification to proving formulas in expressive logics. Pr...
Viktor Kuncak, Ruzica Piskac, Philippe Suter, Thom...
ADAEUROPE
2003
Springer
14 years 25 days ago
Charles: A Data Structure Library for Ada95
ontainer. In particular, an iterator abstracts away differences in specific container types, allowing you to view the collection simply as a sequence of items. A generic algorith...
Matthew Heaney
ICML
1996
IEEE
14 years 8 months ago
Learning Relational Concepts with Decision Trees
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
Peter Geibel, Fritz Wysotzki
ICNP
2007
IEEE
14 years 1 months ago
HEXA: Compact Data Structures for Faster Packet Processing
—Data structures representing directed graphs with edges labeled by symbols from a finite alphabet are used to implement packet processing algorithms used in a variety of network...
Sailesh Kumar, Jonathan S. Turner, Patrick Crowley...