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» Building a Calculus of Data Structures
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AMAI
2004
Springer
14 years 1 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
PVLDB
2008
138views more  PVLDB 2008»
13 years 7 months ago
A skip-list approach for efficiently processing forecasting queries
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Tingjian Ge, Stanley B. Zdonik
EGH
2009
Springer
13 years 5 months ago
Object partitioning considered harmful: space subdivision for BVHs
A major factor for the efficiency of ray tracing is the use of good acceleration structures. Recently, bounding volume hierarchies (BVHs) have become the preferred acceleration st...
Stefan Popov, Iliyan Georgiev, Rossen Dimov, Phili...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 8 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
VLDB
2001
ACM
66views Database» more  VLDB 2001»
14 years 10 days ago
An Evaluation of Generic Bulk Loading Techniques
Bulk loading refers to the process of creating an index from scratch for a given data set. This problem is well understood for B-trees, but so far, non-traditional index structure...
Jochen Van den Bercken, Bernhard Seeger