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» Approximate Data Structures with Applications
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UAI
1996
15 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
175
Voted
ITP
2010
179views Mathematics» more  ITP 2010»
15 years 10 months ago
The Isabelle Collections Framework
The Isabelle Collections Framework (ICF) provides a unified framework for using verified collection data structures in Isabelle/HOL formalizations and generating efficient functi...
Peter Lammich, Andreas Lochbihler
GRAPHICSINTERFACE
1997
15 years 8 months ago
Multiresolution BSP Trees Applied to Terrain, Transparency, and General Objects
We present a system for incorporating multiple level of detail (LOD) models of 3D objects within a single hierarchical data structure. This system was designed for a scientific vi...
Charles Wiley, A. T. Campbell III, Stephen A. Szyg...
CN
1998
58views more  CN 1998»
15 years 6 months ago
A solid modeling library for the World Wide Web
A library of functions for the creation, manipulation, and viewing of solid models was created for deployment on the World Wide Web. The core data structure was based on the halfe...
Stephen Chi-fai Chan, Vincent T. Y. Ng, Albert S. ...
ICDM
2003
IEEE
225views Data Mining» more  ICDM 2003»
15 years 12 months ago
Combining the web content and usage mining to understand the visitor behavior in a web site
A web site is a semi structured collection of different kinds of data, whose motivation is show relevant information to visitor and by this way capture her/his attention. Understa...
Juan D. Velásquez, Hiroshi Yasuda, Terumasa...