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» Finding low-entropy sets and trees from binary data
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ESOP
2004
Springer
13 years 11 months ago
Adaptive Pattern Matching on Binary Data
Pattern matching is an important operation in functional programs. So far, pattern matching has been investigated in the context of structured terms. This paper presents an approac...
Per Gustafsson, Konstantinos F. Sagonas
RECOMB
2011
Springer
12 years 8 months ago
Algorithms for MDC-Based Multi-locus Phylogeny Inference
One of the criteria for inferring a species tree from a collection of gene trees, when gene tree incongruence is assumed to be due to incomplete lineage sorting (ILS), is minimize ...
Yun Yu, Tandy Warnow, Luay Nakhleh
SAC
2005
ACM
13 years 11 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
ICIP
2003
IEEE
14 years 7 months ago
MRA data segmentation using level sets
In this paper, we use a level set based segmentation algorithm to extract the vascular tree from Magnetic Resonance Angiography, "MRA". Classification model finds an opt...
Hossam S. Hassan, Aly A. Farag
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
13 years 11 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles