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TSP
2010
13 years 2 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
VLDB
2002
ACM
184views Database» more  VLDB 2002»
14 years 8 months ago
Database indexing for large DNA and protein sequence collections
Our aim is to develop new database technologies for the approximate matching of unstructured string data using indexes. We explore the potential of the suffix tree data structure i...
Ela Hunt, Malcolm P. Atkinson, Robert W. Irving
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
14 years 14 days ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
WCW
2004
Springer
14 years 1 months ago
FatNemo: Building a Resilient Multi-source Multicast Fat-Tree
This paper proposes the idea of emulating fat-trees in overlays for multi-source multicast applications. Fat-trees are like real trees in that their branches become thicker the clo...
Stefan Birrer, Dong Lu, Fabián E. Bustamant...
SIGGRAPH
1995
ACM
13 years 11 months ago
Creation and rendering of realistic trees
Recent advances in computer graphics have produced images approaching the elusive goal of photorealism. Since many natural objects are so complex and detailed, they are often not ...
Jason Weber, Joseph Penn