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FLAIRS
2000
15 years 8 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
ICML
2007
IEEE
16 years 7 months ago
Gradient boosting for kernelized output spaces
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
INFOCOM
2009
IEEE
16 years 1 months ago
Absence of Evidence as Evidence of Absence: A Simple Mechanism for Scalable P2P Search
Abstract—We propose a novel search mechanism for unstructured p2p networks, and show that it is both scalable, i.e., it leads to a bounded query traffic load per peer as the pee...
Stratis Ioannidis, Peter Marbach
PKDD
2007
Springer
132views Data Mining» more  PKDD 2007»
16 years 26 days ago
An Algorithm to Find Overlapping Community Structure in Networks
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
Steve Gregory
WINE
2007
Springer
124views Economy» more  WINE 2007»
16 years 25 days ago
On the Price of Truthfulness in Path Auctions
We study the frugality ratio of truthful mechanisms in path auctions, which measures the extent to which truthful mechanisms “overpay” compared to non-truthful mechanisms. In p...
Qiqi Yan