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AICCSA
2008
IEEE
842views Hardware» more  AICCSA 2008»
15 years 4 months ago
Intelligent heart disease prediction system using data mining techniques
The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not "mined" to discover hidden information for effective decision making. Disc...
Sellappan Palaniappan, Rafiah Awang
DAM
2002
67views more  DAM 2002»
15 years 1 months ago
Optimal arrangement of data in a tree directory
We define the decision problem data arrangement, which involves arranging the vertices of a graph G at the leaves of a d-ary tree so that a weighted sum of the distances between p...
Malwina J. Luczak, Steven D. Noble
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 2 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
RTA
2010
Springer
15 years 5 months ago
Automata for Data Words and Data Trees
Data words and data trees appear in verification and XML processing. The term “data” means that positions of the word, or tree, are decorated with elements of an infinite set...
Mikolaj Bojanczyk
NIPS
2004
15 years 3 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek