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ICDE
2009
IEEE
151views Database» more  ICDE 2009»
14 years 10 months ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...
ICIP
2002
IEEE
14 years 10 months ago
A Bayesian approach to inferring vascular tree structure from 2D imagery
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
Abhir Bhalerao, Elke Thönnes, Roland Wilson, ...
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
14 years 11 days ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
ICASSP
2009
IEEE
14 years 3 months ago
Adaptive distributed transforms for irregularly sampled Wireless Sensor Networks
We develop energy-efficient, adaptive distributed transforms for data gathering in wireless sensor networks. In particular, we consider a class of unidirectional transforms that ...
Godwin Shen, Sunil K. Narang, Antonio Ortega
PCI
2005
Springer
14 years 2 months ago
Storing and Locating Mutable Data in Structured Peer-to-Peer Overlay Networks
Structured peer-to-peer overlay networks or Distributed Hash Tables (DHTs) are distributed systems optimized for storage and retrieval of read-only data. In this paper we elaborate...
Antony Chazapis, Nectarios Koziris