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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 10 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
AUSDM
2006
Springer
202views Data Mining» more  AUSDM 2006»
14 years 1 months ago
A Comparative Study of Classification Methods For Microarray Data Analysis
In response to the rapid development of DNA Microarray technology, many classification methods have been used for Microarray classification. SVMs, decision trees, Bagging, Boostin...
Hong Hu, Jiuyong Li, Ashley W. Plank, Hua Wang, Gr...
PPAM
2005
Springer
14 years 3 months ago
Parallel Query Processing and Edge Ranking of Graphs
Abstract. In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorit...
Dariusz Dereniowski, Marek Kubale
FUIN
2006
139views more  FUIN 2006»
13 years 10 months ago
Efficient Parallel Query Processing by Graph Ranking
In this paper we deal with the problem of finding an optimal query execution plan in database systems. We improve the analysis of a polynomial-time approximation algorithm due to M...
Dariusz Dereniowski, Marek Kubale
ESA
2009
Springer
120views Algorithms» more  ESA 2009»
14 years 4 months ago
Rank-Pairing Heaps
Abstract. We introduce the rank-pairing heap, a heap (priority queue) implementation that combines the asymptotic efficiency of Fibonacci heaps with much of the simplicity of pair...
Bernhard Haeupler, Siddhartha Sen, Robert Endre Ta...