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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
16 years 7 months ago
Towards combining web classification and web information extraction: a case study
: ? Towards Combining Web Classification and Web Information Extraction: a Case Study Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi HP Laboratories HPL-2009-86 Classific...
Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongz...
ESANN
2006
15 years 8 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
BMCBI
2011
14 years 10 months ago
MINE: Module Identification in NEtworks
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
Kahn Rhrissorrakrai, Kristin C. Gunsalus
ENTCS
2007
178views more  ENTCS 2007»
15 years 6 months ago
Recent Advances in Real-Time Maude
This paper gives an overview of recent advances in Real-Time Maude. Real-Time Maude extends the Maude rewriting logic tool to support formal specification and analysis of object-...
Peter Csaba Ölveczky, José Meseguer
SADM
2010
196views more  SADM 2010»
15 years 1 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
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