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» Patterns for decoupling data structures and algorithms
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FLAIRS
2004
13 years 9 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
UAI
2003
13 years 9 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
WEBDB
2009
Springer
112views Database» more  WEBDB 2009»
14 years 2 months ago
Querying DAG-shaped Execution Traces Through Views
The question whether a given set of views, defined by queries, can be used to answer another query, arises in several contexts such as query optimization, data integration and se...
Maya Ben-Ari, Tova Milo, Elad Verbin
VIS
2007
IEEE
239views Visualization» more  VIS 2007»
14 years 9 months ago
Moment Invariants for the Analysis of 2D Flow Fields
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...
SIGMOD
2005
ACM
135views Database» more  SIGMOD 2005»
14 years 7 months ago
Mining data streams: a review
The recent advances in hardware and software have enabled the capture of different measurements of data in a wide range of fields. These measurements are generated continuously an...
Mohamed Medhat Gaber, Arkady B. Zaslavsky, Shonali...